Shape sensing textile for orthotics - SmartSensOtics

Lead Research Organisation: University of Sussex
Department Name: Sch of Engineering and Informatics

Abstract

Orthotic products are of great importance to a number of people around the world. The process of fabricating orthoses is well established, but depends on a time and resource consuming plaster cast method developed over 100 years ago. This is associated to a number of reasons e.g. the fact that an Orthotist has to shape the patient's body to define the shape of an orthosis. In particular in the case of children or patients with joint contractures and anatomical deformities, such as those affected with neurological and neuromuscular medical conditions, such as Cerebral Palsy. This issue prevents the efficient application of MRI, CT or optical imaging techniques, because these require extensive post-processing to discriminate between the patient's body and the Orthotist's hands. Additionally, such imaging equipment is expensive and requires a highly technicians. Hence, providing orthoses is only possible if, hospitals, expensive medical scanners, consumables, and workshops are accessible. This is not the case in developing countries, consequently orthoses in LMICs are often fabricated form scrap such as old water canisters.

Recently, the development of flexible, soft electronics, as well as the spread of wearable electronic devices has made significant progress. Here we want to develop a smart, portable and stretchable textile sleeve with integrated sensors connected to a smartphone to realize an entirely new, versatile, and wearable body shape imaging technique. The digital limb models by our system can then be used for the computer aided fabrication of customized orthotics, without the need for significant infrastructure.
Our smart textile will contain an active array of stretchable strain sensors to measure the deformation of the textile itself. The knowledge of the strain distribution inside the tight fitting stretchable textile when worn over a limb or body part will be used to determine the exact three-dimensional shape of the limb. Any external influence such as the force applied by the Orthotist will also be quantified, but will not interfere with the shape measurement.
The development and fabrication of biocompatible, polymer based strain gauges able to measure strain of >200% will be done in the semiconductor manufacturing cleanroom at the University of Sussex. This cleanroom is optimized for the fabrication of flexible electronic thin-film devices on plastic substrates. The sensors will then be unobtrusively integrated into an elastane fabric using embroidery, and interconnected using conductive yarns. We will evaluate the required sensor density to achieve a measurement resolution sufficient for the fabrication of orthotic products. In a next step, the acquired sensor data will be proceed on a smartphone to automatically generate a three-dimensional model of the imaged body part. Hence no professionals, additional infrastructure or consumables are needed to support the Orthotist in treating the patients. The generated digital model can then be electronically sent to a manufacturer or used to produce the orthosis in a mobile 3D printer, whereas printing of a mould for the conventional fabrication of orthoses, and direct printing of an orthosis will be evaluated. John Florence Ltd. will be responsible for the fabrication of the Orthotic products and the evaluation of their quality.

To assess the technology as a whole, and to define workflows for the fabrication of orthotic products in rural areas in developing countries, the Kenya Medical Training College and the Ability Therapy Place will support us evaluate the developed wearable in Kenya.
The shape and force sensing technology developed here will not only revolutionise the fabrication of orthoses, but also influence the development of other medical products such as prostheses, monitoring of diseases related to the shape, size or deformation of the skeletal system or soft tissue, and even the realization of artificial sensor skins for interactive soft robots

Planned Impact

Impact and timeline
By the end of this project, the technology for a flexible and biocompatible active sensor array will be developed and used to realize a demonstrator of a wearable textile integrated body shape sensor. Together with the associated data processing, this sensor will be able to generate a digital 3D limb model for the smart fabrication of orthotics. The use of 3D printers in the orthotics fabrication process will be evaluated. It will also be demonstrated that this sensor textile can be operated in Kenya. At this stage we expect a TRL between 3 and 4. From here on two parallel routes for the further development and application of the technology are foreseen. Directly after the project the developed demonstrator can be augmented to make it more reliable, and easier to use which enable its application in rural areas in Kenya. Around 3 to 5 years later, this will lead to entirely mobile orthotics workshops in LMICs combining the developed body shape sensing technology with computer aided manufacturing techniques. At the same time, the body shape scanning technology will be more advanced to allow dynamic high precision measurements which will enable its evaluation for UK applications as a convenient body shape sensor for orthotics, prosthetics, fitness applications, or as motion capturing system for gaming, or rehabilitation. Another way this project will create impact is the development of a generic technology to realize flexible large-area sensor arrays. In the time up to 5 years after the project, the developed active matrix structure can be equipped by a set of other stretchable sensors (e.g. for temperature, chemicals, or PH) which are conditioned using an updated version of the microcomputer. In the long term (5-7 years after the project) such arrays will lead to the realization of truly large-area multi-modal sensors systems, which are mechanically flexible and unobtrusive. This is a requirement for the fabrication of soft artificial sensor skins and tattoos for healthcare, robotics and prostheses. At this point the two impact paths of this project will again join by revolutionizing the fabrication of customized medical supports and by enabling the development of artificial limbs with human like sensing abilities.

Orthotics manufacturers and patients
The first beneficiary will be our partner John Florence Ltd. The developed technology will open a way to fabricate orthotics without the need for expensive and bulky plaster casts, and to scan the body shape of patients without expensive MRI, CT and optical scanners (and without labour intensive post processing if the body part is manually corrected). In the medium term also clinicians will benefit by a change of the practise orthotics and prosthetics patients are treated. Finally, the comfort for patients will be improved by the use of the unobtrusive and fast textile body shape sensor instead of plaster of Paris mould. In developing countries patients and physicians will start to benefit earlier (around 5 years after the project) because there the textile sensor system does not have to compete with expensive conventional scanners. Here physicians are able to supply orthoses to patients and to improve their mobility.

Skilled workforce
Within the time frame of the project, the team (postdocs, and associated students) will gain useful and transferable skills, especially analytical, presentation and organizational skills applicable to several sectors, as well as subject specific skills (Micro technology, Data processing) essential for the electronic systems industry which is an important employer in the UK.

Additional impact
In the long term, also a wider public will benefit from techniques able to quantify the size of body parts to evaluate fitness levels (build up of muscles) or to fabricate customized clothes. Furthermore researches active in context recognition or robotics will profit from motion capturing systems and artificial sensor skins.

Publications

10 25 50
 
Description 1. Yarn Covering Machine. This machine was developed in this project to enhance the embedding of the stretchable sensors in a yarn. This can be used also to put different flexible sensors into yarns, that can be further used for the fabrication of smart textiles.
2. A stretchable sensor Sleeve. This sleeve used strain sensors that have been used as a shape sensing device. The device has been proved measuring the cylinder with different diameters. This sleeve can be extended not only to be used for human body shape sensing. A further enhancement of this device will promote its usage for the measurement of complex shapes and their digitalisation into 3D models using computer aided design (CAD) software.
3. A Finite Element numerical Analysis. This analysis has been used to prove the usage in the optimisation of the sensing textile. The analysis will also be used in the identification of the optimal materials properties of a material to drape around any complex shape.
4. A research question about the drape of textiles. This research has also led to the investigation of what are the specific material properties that a material needs to drape around any complex shape with a reduced percentage of error. This is required for the optimisation of the sensing device by the identification of the right material.
5. Stretchable sensors. These were fabricated using carbon black and ecoflex and they will provide the coordinates for shape reconstruction.
6. Bending sensors. These were fabricated using the same material but placed on a polyester yarn to provide bending angles.
7. Biocompatible ecofriendly sensors. A conductive material was developed to fabricate stretchable sensors using coconut oil, carbon-blanck on an Ecoflex matrix.
8. Reconstruction algorithm. A shape reconstruction algorithm has been developed to reconstruct a target shape (i.e. part of the body) from coordinates obtained from the sensors.
8. New technique for incorporation of flexible sensors in textile yarns to create smart textiles.
Exploitation Route 1. Yarn covering machine. This can be used for the embedding of different materials to be used in the fabrication of smart or e- textiles.
2. Stretchable sensor sleeve. This can be used for the shape sensing and acquisition over a different sectors, where the aim is the measurement and digitalisation of complex shapes by using contact methods.
3. FEM model and research question about drapability of textiles. This type of analysis can be used for the identification of new materials that can fulfil different conditions of drapability in different industries such as textile, wrapping, or in the healthcare and aerospace sectors.
4. Both, stretchable and bending sensors can be used on research for motion tracking, particularly in rehabilitation, gaming, and sports, real time motion, therapy assistance, creation of artificial skins, motion detection, posture recognition, health signal monitoring.
5. The shape reconstruction algorithm can be implemented to reconstruct shapes digitally from a set of points with 3D coordinates obtained from applications such as 3D scanners, coordinate measurement machines, or CAD software.
6. The technique for incorporating flexible sensors in textile yarns can be used to unobtrusively incorporate embed other sensors in smart textiles.
Sectors Aerospace, Defence and Marine,Electronics,Healthcare,Leisure Activities, including Sports, Recreation and Tourism,Manufacturing, including Industrial Biotechology,Other

 
Description The textile will reduce the usage of material used for the fabrication of orthoses, such as plaster of Paris. The first prototype has demonstrated applicability on the sensing of shapes. Therefore, the company, John Florence, has spotted a huge potential impact to the enhancement of the fabrication of orthoses. This will ease the body shape sensing, reduce the time spent in the body positioning, Thus minimising patients' pain. As the time will be reduced, there will be a positive economic and social impact. The material for the shape sensing will be reduced and the number of patients per day will increase. Furthermore, more patients will have access to personalised orthoses, increasing the efficiency of the treatments.
First Year Of Impact 2019
Sector Healthcare
Impact Types Societal,Economic

 
Description University's UKRI Covid extension fund
Amount £77,982 (GBP)
Organisation United Kingdom Research and Innovation 
Sector Public
Country United Kingdom
Start 02/2021 
End 09/2021
 
Title Behavior of a stretchable sensor for a future use in the SmarSensOtics textile 
Description Measurement of the resistance of stretchable sensors were carried out by stretch-test. The data was collected from samples of sensors under 50% strain. The response and recovery times were measures. The data is used for the fabrication of a preliminary prototype. 
Type Of Material Database/Collection of data 
Year Produced 2018 
Provided To Others? No  
Impact This characterisation has been used to identify the time for recovery and response of commercial available materials. This has been used for the fabrication of a prototype textile. The information will also be used as a reference for the development of future sensors. 
 
Title Behavior of developed stretchable sensor for a future use in the SmarSensOtics textile 
Description Measurement of the resistance of the developed stretchable sensors were conducted utilising different stretch-tests. The data was collected from the sensors under 200% strain. The overshoot, response and recovery times, and temperature responses were measured. The data was used to asses the functionality of the different stretchable sensors. 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? No  
Impact This characterisation has been used to identify the performance of the materials. These sensors will be used in the fabrication of a prototype measurement sleeve. 
 
Title Data processing algorithm (resistance - strain) 
Description This algorithm takes the data from an array of strain sensors and converts it into actual 3D coordinates. These coordinates are later used by the Shape reconstruction algorithm to create a 3D model of the shape of interest, i. e. body part. 
Type Of Material Computer model/algorithm 
Year Produced 2020 
Provided To Others? No  
Impact This algorithm is fundamental in the use of the sensors for the shape reconstruction. As this acquires the resistance values of the sensors and converts them into coordinates. 
 
Title Finite Element Modelling of a stretchable sleeve 
Description Finite Element (FE) Model of a stretch textile was developed using mechanical properties of the stretchable sensor. 
Type Of Material Computer model/algorithm 
Year Produced 2018 
Provided To Others? No  
Impact The model was primarily used to identify the feasibility in the use of FEM analysis for the simulation of stretchable sensors. This lead to a further use of the FE software for the simulation of complex systems. 
 
Title Finite Element Modelling of a stretchable sleeve for shape sensing 
Description Finite Element (FE) Model of a stretchable sleeve was developed to carry out a contact analysis and drapability of a rubber material on a steel rod. 
Type Of Material Computer model/algorithm 
Year Produced 2019 
Provided To Others? No  
Impact The model will be used to identify the main material properties, such as Young's modulus and friction coefficient, that will be needed for the sensing textile. The data will be used to create a simulation of a real sleeve. The data obtained from the model will be in the form of coordinate points. The data will be exported to be compared with measurements obtained from the sensors. 
 
Title Finite element model of a single stretchable sensor 
Description Finite Element (FE) Model of a stretchable sleeve was developed to carry out stress relaxation analysis. 
Type Of Material Computer model/algorithm 
Year Produced 2020 
Provided To Others? No  
Impact The model has been used to simulate the real response of the developed sensors using their mechanical properties. This model will be used in a stress relaxation analysis with viscoelastic properties to do a geometry optimisation of the sensors. The aim is the development of sensors with smaller overshoot and less hysteresis. 
 
Title Preliminary prototype of a measurement textile sleeve. 
Description A preliminary prototype of a sleeve was fabricated. 12 commercially available strain sensors were attached to a stretchable sleeve using a state of the art embroider. The data of each sensor was capture and used to measure cylinders with five different diameters. 
Type Of Material Data analysis technique 
Year Produced 2019 
Provided To Others? Yes  
Impact In the preliminary prototype, the sleeve is capable of capturing the diameter of different cylinders. This, when further developed, will be used to detect complex shapes and further enhancement will be done to capture human body shapes. 
 
Title Shape reconstruction algorithm 
Description This algorithm modifies iteratively the location parameters of an inference shape to match the location parameters of a target shape. Both shapes are digitally created using a set of n nodes connected by links. This creates a digital mesh of a defined shape. This aids in the creation of a 3D model using a set of n nodes that represents the location parameters obtained from the sensors. 
Type Of Material Computer model/algorithm 
Year Produced 2019 
Provided To Others? No  
Impact This algorithm obtains data from the algorithm that provides the coordinates for n nodes. This information is used to reconstruct the target shape (i.e. body part) creating a 3D model. 
 
Title Stretchable sensors interface strength analysis 
Description A new method was developed to test the strength of contact interfaces of piezoresistive polymers. The method involves the development of a novel sample holders and of a in-house tension cyclic test implemented for the specific purpose. 
Type Of Material Data analysis technique 
Year Produced 2020 
Provided To Others? Yes  
Impact The method has been used to test different interfaces on stretchable sensors. 
 
Description Collaboration with John Florence 
Organisation John Florence Limited
Country United Kingdom 
Sector Private 
PI Contribution We have worked close with the company in the development of the sensors. The research team has doing a characterisation of the sensors, developed a prototype of the sensig textile, create a FM model of the sleeve. We have shown all the technical advances in the project to the company, and the company has provided feedback to improve the application of the system.
Collaborator Contribution This partnership contributes highly to the development of the shape sensing textile. The company has provide information regarding to actual methods used for the manufacturing of orthoses. The company has provided feedback on the real application of the development. Both, company and research team, have exchange ideas and we have come to a common ground that has put forward ideas that has been considered during the project.
Impact This is a multidisciplinary collaboration as they are the medical part which help to shape and test the project. The partners are clinical practitioners. 1. Improvement the sensing system definition. 2. Identification of the main characteristics the system should have to be used in practical application 3. Development of a research questionnaire for the identification of the main characteristics of the system. 4. Initialisation of the process for Intellectual property protection of the development.
Start Year 2018
 
Description Collaboration with Stretchline (Zhongshan) Limited 
Organisation Stretchline Limited
Department Stretchline (Zhongshan) Limited
Country Sri Lanka 
Sector Private 
PI Contribution The research team found a technique for industrially embedding thin film flexible sensors in textile yarns. This technique could be utilised in the future to embed other sensors within textiles.
Collaborator Contribution Stretchline (Zhongshan) Limited provided the textile equipment and expertise required to industrially fabricate the smart yarns
Impact The collaboration is multidisciplinary and involves the disciplines of textile engineering, electronic engineering and material science. 1. Preliminary test were conducted by covering flexible temperature sensors with textile yarns. This is a multidisciplinary collaboration as their expertise was in textiles and we were providing expertise in flexible electronics. 2. Identified a new technique of industrially manufacturing smart yarns and therefore smart textiles. 3. We managed to obtain a journal publication using this collaboration. 4. In the future we will aim to embed other sensors such as strain and bending within the textile yarn
Start Year 2019
 
Description Collaboration with University of Brighton 
Organisation University of Brighton
Country United Kingdom 
Sector Academic/University 
PI Contribution The research team fabricated a new composite sensing material capable of detecting strain
Collaborator Contribution University of Brighton provided the necessary equipment and expertise in scanning electron microscope required for analysis of this material
Impact We are currently writing a journal publication using the results of this project. This new material is fabricated using cheap and ecofriendly raw materials
Start Year 2020
 
Description Collaboration with the Ability, Therapy centre in Nairobi, Kenya. 
Organisation Ability clinics
Country Kenya 
Sector Private 
PI Contribution The research team visited the place in Nairobi, Kenya. We gave a presentation of the project and provide information of the benefits they will have to their organisation, particularly for the patients. We exchanged ideas on how this can be achieved.
Collaborator Contribution The personal at the Ability Therapy place showed the methods and the materials the used. The also provide some factors to take into consideration for the fabrication of the device. They have agreed to continue with a common collaboration during the project. They will help in shaping the project and they have offered to do trials with their patients inside and outside the clinic. We exchange ideas that help to enhance the definition of the project.
Impact This is multidisciplinary collaboration as they are the medical part which help to shape and test the project. The partners at the therapy place are clinical practitioners. 1. Enhancement on the definition of the project. 2. They agree to answer a questionnaire to improve the sensing system. 3. Agreement for further collaboration in the shaping of the project. 4. Agreement in the collaboration for trials of the final prototype. 5. They will provide a feedback about their experiences on using the prototype.
Start Year 2018
 
Description Collaboration with the Advanced Textiles Research Group (ATRG) at Nottingham Trent University for providing a textile yarn cover for sensor strips 
Organisation Nottingham Trent University
Department College of Arts and Science
Country United Kingdom 
Sector Academic/University 
PI Contribution The research team found a technique for embedding thin film flexible sensors in textile yarns. The yarns produced using these thin film sensors had a significantly smaller diameter when compared to the yarns advanced textiles research group previously produced. A reduction in diameter greatly improves the aesthetics and comfortability of smart textiles . This technique could be utilised in the future to embed other sensors within textiles
Collaborator Contribution Advanced Textiles research group provided the textile expertise required to fabricate the yarns and the resulting smart textile
Impact This is a multidisciplinary collaboration as their expertise was in textiles and we were providing expertise in flexible electronics. 1. Identified a new technique of creating smart yarns and therefore smart textiles. 2. We managed to obtain a journal publication using this collaboration. 3. In the future we will aim to embed other sensors such as strain and bending within the textile yarn
Start Year 2019
 
Description Collaboration with the BAPO 
Organisation British Association of Prosthetists and Orthotists (BAPO)
Country United Kingdom 
Sector Learned Society 
PI Contribution We are working on the improvement and application of a survey for distribution among orthotist in the UK. The British Association of Prosthetist and Orthotist (BAPO Research committee.
Collaborator Contribution The research committee has review the questionnaire, and are providing their expertise on the prosthetics and orthotics for making the questionnaire more suitable for practitioners. They are distributing the questionnaire through all the members of the association and help in the data analysis.
Impact online questionnaire for improvement of the shape sensing textile prototype.
Start Year 2020
 
Description Collaboration with the BAPO 
Organisation British Association of Prosthetists and Orthotists (BAPO)
Country United Kingdom 
Sector Learned Society 
PI Contribution We are working on the improvement and application of a survey for distribution among orthotist in the UK. The British Association of Prosthetist and Orthotist (BAPO Research committee.
Collaborator Contribution The research committee has review the questionnaire, and are providing their expertise on the prosthetics and orthotics for making the questionnaire more suitable for practitioners. They are distributing the questionnaire through all the members of the association and help in the data analysis.
Impact online questionnaire for improvement of the shape sensing textile prototype.
Start Year 2020
 
Description Collaboration with the department of the Orthopaedic Technology at the Kenyatta National Hospital, Nairobi, Kenya. 
Organisation Kenyatta National Hospital (KNH)
Country Kenya 
Sector Hospitals 
PI Contribution The research team visited department of Orthopaedic Technology at Kenyatta in Nairobi, Kenya. We gave a presentation of the project and provide information of the benefits they will have to their organisation, particularly for the patients. We exchanged ideas on how this can be achieved.
Collaborator Contribution The personal of the Orthopaedic Technology department showed the methods and the materials they use for the fabrication of orthoses and prostheses. They also provide important factors to take into consideration for the fabrication of the device. They they have offered to do trials with their patients in the clinic and with patients outside the clinic. We exchange ideas that help to enhance the definition of the project.
Impact The multidisciplinary collaboration as they are the medical part which help to shape and test the project. The partners at the hospital are clinical practitioners. 1. Enhancement on the definition of the project. 2. They agree to answer a questionnaire to improve the sensing system. 3. Agreement in the collaboration for trials of the final prototype.
Start Year 2019
 
Title Shape sensing stretchable textile employing flexible strain sensors 
Description This invention is about a stretchable textile sensor sleeve, able to quantitatively measure the body shape and posture of people. The tight worn textile body shape sensor can acquire a digital three dimensional model of a body part which enables the computer aided fabrication of customized orthotics without the need for expensive MRI, CT, or optical laser scanners. Hence, the portable textile body shape sensor reduces the demand for labour, consumables and infrastructure and facilitates producing orthoses for patients. In contrast to existing systems, here strain and bend sensors are used to measure the deformation of a stretchable textile. Assuming there are no wrinkles in the textile and that it is tight fitting, the shape of the textile sleeve corresponds to the shape of the underlying body part. The textile body shape sensor is realized by integrating a sensor matrix, made from flexible strain sensors, into an elastane fabric. The strain data is then processed by algorithms to generate a 3D model which can be displayed. Additionally, this digital cast can be exported and used for computer assisted manufacturing. At the same time, the technology can be used realize other shape sensing textiles e.g. for motion capturing or the quantitative measurement of muscle build up to be used by athletes or professionals. 
IP Reference PCT/GB2020/052160 
Protection Patent application published
Year Protection Granted 2020
Licensed No
Impact The textile body shape sensor can acquire a digital three dimensional model of a body part which enables the computer aided fabrication of customized orthotics without the need for expensive MRI, CT, or optical laser scanners. The textile creates a digital cast that can be exported and used for computer assisted manufacturing.
 
Title Yarn Covering Machine 
Description A covering machine was used to provide a cover for the core yarn which would contain flexible sensors, it was designed using CAD software and fabricated using a laser cutter. The machine contains three stepper motors, programmed to achieve the optimum cover for the core yarn. The machine is capable of twisting textile yarns in z and s direction to obtain the yarn cover. 
Type Of Technology Systems, Materials & Instrumental Engineering 
Year Produced 2018 
Impact This machine will be used to embed the sensors within a textile yarn. This ensures that the electronics are hidden from the wearer making it aesthetically pleasing as well as it provides a better feel to the final textile yarn. The textile cover layer also provides an additional protective layer to the sensors. The yarn produced could be used to knit/weave/embroider the textile sleeve. 
 
Title carbon black-coconut oil and strain sensor 
Description The strain sensor was fabricated by mixing carbon black with Ecoflex using coconut oil as a ecofriendly solvent. This created a conductive oily porous structure. Moreover when induced to a strain the resistivity of the material changes resulting in a resistance change. The resistance change can be correlated to the elongation. 
Type Of Technology Systems, Materials & Instrumental Engineering 
Year Produced 2019 
Impact The fabricated strain sensors is a Ecofriendly solution that will be utilised in the textile sleeve to capture elongation, which will be utilised to determine the 3D coordinates, thus capturing the target shape, i. e. a body part. 
 
Title carbon black-coconut oil ecofriendly conductive polymer 
Description The new material was fabricated using a mixture of carbon black with Ecoflex, using coconut oil as a ecofriendly solvent. This created a conductive oily porous structure. 
Type Of Technology New Material/Compound 
Year Produced 2019 
Impact The fabricated Ecofriendly material will be utilised to fabricate strain sensors to capture elongation. These sensors will be utilised to determine the 3D coordinates, thus capturing the target shape, i. e. a body part. The material can be also used to fabricate strain sensors for motion recognition for sports, rehabilitation, or gaming. 
 
Title carbon black-heptane Strain sensor 
Description The strain sensor was synthesised by mixing carbon black with Ecoflex using a non polar solvent heptane. This ensured the elastomer material is conductive, therefore, when induced to a strain, the resistivity of the material changes, resulting in a resistance change. The resistance change is then correlated to the elongation. 
Type Of Technology Systems, Materials & Instrumental Engineering 
Year Produced 2019 
Impact The fabricated strain sensors will be utilised in the textile sleeve to capture elongation, which will be utilised to determine the 3D coordinates, thus capturing the target shape, i. e. a body part. 
 
Title carbon black-heptane and polyester bend sensor 
Description The bend sensor was fabricated by mixing carbon black with Ecoflex using a non polar solvent heptane and pouring it onto a textile yarn. This ensured the elastomer material is conductive, therefore, when induced to a strain bend, the resistivity of the material changes, resulting in a resistance change. The resistance change can be correlated to the bending angle. 
Type Of Technology Systems, Materials & Instrumental Engineering 
Year Produced 2020 
Impact The fabricated bend sensors will be utilised in the textile sleeve to measure angles to complement the 3D coordinates which will be utilised to sense a target shape, i. e. a body part 
 
Description A talk, presentation or debate (School of orthopaedic technology, Kenya Medical Training College, Nairobi, Kenya) 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact A meeting was held at School of Orthopaedic Technology, Kenya Medical Training College in Nairobi, Kenya. The meeting was with the deputy director of the school. We familiarised with the equipment of the school, the materials, and the topics. A presentation of the project was given to members of the faculty and undergraduate students of the orthopaedic technology course. Both, practitioners and students were very interested in the topic and pointed out the general limitations on methods and materials they have encountered.
Year(s) Of Engagement Activity 2019
 
Description Conference and workshop on wearable electronics 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Professional Practitioners
Results and Impact There were several professors, post graduate students, and industry personal working on wearable electronics and electronic textiles. Therefore managed to gain valuable insight on the recent progress in wearable electronics. This knowledge will be used to improve the shape sensing sleeve
Year(s) Of Engagement Activity 2019
URL http://iswc.net/iswc19/
 
Description Formal working group (Department of Orthopaedic technology, Kikuyu Hospital, Nairobi, Kenya) 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact A meeting was held at the Department of Orthopaedic Technology, Kikuyu Hospital, Nairobi, Kenya. The meeting was with the director of the department and with the main orthotist and prosthetic practitioner. We got familiarised with the methods, materials and equipment used for the fabrication of orthoses and prostheses of this centre. The director also showed some examples of the prostheses fabricated at this place. Moreover, he emphasises the importance and the impact of the support from developed countries to the community in Kenya. The director of the centre also gave us a presentation with relevant cases and the different conditions of the patients.
Year(s) Of Engagement Activity 2019
 
Description Formal working group (John Florence, Ltd.) 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach Regional
Primary Audience Industry/Business
Results and Impact A presentation of the project's advances, preliminary prototypes of a sleeve and a two different numerical simulations, was carried out in during the meeting. The presentation was followed by a group talk where the progress was discussed and new ideas and were sparked to improve the main outcomes. The researchers at the University of Sussex took a tour to get familiarised with the equipment of the company and the methods used for body shape acquisition and fabrication of the orthoses .
Year(s) Of Engagement Activity 2018
 
Description Formal working group (John Florence, Ltd.) 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach Regional
Primary Audience Industry/Business
Results and Impact A presentation of the project's advances was carried out in during the meeting. The presentation was followed by a group talk where the progress was discussed and new ideas were sparked to improve the main outcomes.
Year(s) Of Engagement Activity 2019
 
Description Formal working group (John Florence, Ltd.) 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach Regional
Primary Audience Industry/Business
Results and Impact Meeting to discuss the advances of the project as well as the main outcomes. Activities were planned, and we engage in a discussion to look for further developments
Year(s) Of Engagement Activity 2020
 
Description Formal working group (Orthopaedic Technology, Kenyatta Hospital, Nairobi, Kenya) 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact The meeting was held at the Rehabilitation Research Centre, Kenyatta Hospital in Nairobi, Kenya, with the director and principal orthotist and prosthetic practitioners. the General secretary, and Vice Chairperson of the National Association of Orthopaedic technology in Kenya were also present. The meeting was held to express our interest in a collaboration for the development of the project. The director war showed the methods, materials, and equipment used by the practitioners in this centre. Moreover, a presentation about the project was given, followed by questions and discussions about the application. These activities promoted the establishment for a further collaboration solving a research questionnaire and for the trials of the prototype. The hospital personnel agreed to test the concept in their facilities.
Year(s) Of Engagement Activity 2019
 
Description Formal working group (The Ability, therapy place, Nairobi, Kenya) 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact A meeting was held with the director and other practitioners at The Ability, Therapy Place in Nairobi, Kenya. We familiarised with the equipment of the company and the methods they used for body shape acquisition and fabrication. The people at the centre emphasise the necessity of new inexpensive methods and materials for the fabrication of orthoses and prostheses. They also showed some homemade equipment and materials for the manufacturing of orthoses and prostheses. Recycled materials gathered from junk yards or from left overs of nearby companies were used in the fabrication. The director showed a high interest and mentioned that this project will be of advantage for his patients and for the clinic. He also pointed out a great benefit by if the fabrication time is optimised, which will increase the number of patients per per week and reduce the cost of the fabrication. These activities promoted the establishment for a further collaboration.
Year(s) Of Engagement Activity 2019
 
Description Presentation on 'Shape Sensing Textiles for Orthotics' at the ARM (Accessible Recycled Material) Prosthetics networking event in De Montfort University (Leicester). 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact There were several orthotics practitioners present in the audience and they were extremely interested in the presentation. The talk sparked questions and discussion on whether/how the technology will be important for orthotics practitioner
Year(s) Of Engagement Activity 2018
 
Description Visit to the Orthotist Workshop (John Florence, Ltd.) 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach Regional
Primary Audience Industry/Business
Results and Impact Researchers involved in the project visited the workshop where the orthoses are made. This help to understand the process and to better understand the needs of a project for body shape imaging.
Year(s) Of Engagement Activity 2019
 
Description conference and workshop on electronic textiles 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Professional Practitioners
Results and Impact There were several professors, post graduates, and industry personal working on electronic textiles. Therefore managed to gain valuable insight on the recent progress and difficulties with electronic textile. This knowledge will be used to improve the shape sensing sleeve
Year(s) Of Engagement Activity 2019