Interaction-based Human Motion Analysis

Lead Research Organisation: Northumbria University
Department Name: Fac of Engineering and Environment

Abstract

In this project, we propose a new method to analyze human motion based on the interaction with the surrounding environment, which provides a better understanding about the nature of the performed motion and enhances the performance of modern motion-related applications.

Understanding human movement is a central problem for motion-related applications such as behaviour monitoring for smart homes and movement evaluation for physical therapy. Most traditional 3D motion analysis algorithms are human-centered, meaning that they only consider features of the human body but not the interaction with the surrounding environment. Imagine the movement of an older person standing on the floor while doing some arm-stretching exercises, and another standing on a chair to fix a light bulb, which is considered to be dangerous. The two motions have completely different contextual meanings, but are surprisingly similar in terms of human body posture. Traditional computer-based motion analysis methods disregard the relationship between the human and the environment, and thus cannot accurately tell the difference between the two motions.

We observe that real humans usually comprehend the context of a motion based on its interaction with the surrounding environment, such as sitting on a sofa, watching the television, riding a bicycle, etc. We believe that by considering these types of interactions, higher quality motion analysis can be improved as a result of better understanding on the context of the motion. Therefore, we propose a new algorithm to analyze human motion based on the interaction between the human and the surrounding environment, which will enhance the accuracy of motion identification and the performance of movement evaluation. Our algorithm evaluates detailed 3D movement features with respect to the environment, such as analyzing the subtle movement of the feet of a Parkinson's disease patient with respect to the position of the stairs during a stair climbing motion. It can therefore (1) analyze movement features from the interaction point of view, and (2) identify what kind of motion the user is performing based on the interaction context.

The system proposed in this research could be used to enhance the quality of life of older people to enable greater independence and reduce the burden on emergency and care services caused by a rising ageing population. Our algorithm accurately identifies human motion, which is an important step towards a smart home system that takes care of older people autonomously. It also aims to evaluate human movement, which can significantly reduce the labour cost of rehabilitation and coaching for older people, as well as early stage motion-related disease (such as the Parkinson's disease) diagnosis.

Planned Impact

This research aims to enhance the quality of life and reduce the cost of supporting older people, which are major challenges in the UK due to population ageing. This target will be achieved via a new algorithm that better identifies and analyzes human motion, such that services that are usually required by older people including smart home, rehabilitation/sport coaching and movement disorder diagnosis can be enhanced/automated.

According to the 2011 census, the population of the UK aged 65 and over was 10.4 million, which is equivalent to 16 per cent of the UK population. The Office for National Statistics has projected that in England in 2030, there will be 51% more people aged 65 and over compared to 2010. By 2050, a 65-year-old man in Britain can expect to live to 91, whereas in 1950 his life expectancy was 76. This trend presents significant challenges for services we depend on to take care of older people and also for an increasing proportion of the working age population which provides informal care. This research directly addresses this issue by proposing a new technology for motion analysis, which is a key part of several major services required by older people, including smart homes, rehabilitation and movement disorder diagnosis.

Smart home, also known as home automation, describes technologies that facilitate in-house support such as automatically calling for help when accidents occur. An ideal smart home allows older people to live in their own home while maintaining access to high quality support, minimizing their dependency on costly healthcare facilities like care homes. One major challenge of smart homes is to understand what the user is doing, in order to decide how to support the user. The proposed research can accurately identify dangerous behaviours like standing on a chair to fix a light bulb, as well as accidents such as falling and colliding with obstacles. With this kind of technology, the labour cost of supporting older people can be reduced, and older people can live with greater independence.

Rehabilitation and sport coaching are two major services used by older people because of the deterioration of physical fitness. The former focuses on recovering from physical injury, while the latter is to strengthen body fitness and prevent injury. The current main streams of these services are highly labour intensive, involving professional trainers to guide the user throughout the training process. Due to high running costs, the availability of these services is under heavy stress, and will likely worsen as a higher proportion of the population lives longer. This research can automatically evaluate the motion of a person when he/she interacts with the environment. This is especially useful for rehabilitation and sport coaching, in which the user usually needs to interact with equipment such as riding exercise bikes and stepping over obstacles. The proposed method can analyze how well the user handles the equipment, and point out how body parts should move with respect to the equipment. It is an important step towards autonomous rehabilitation and coaching.

Movement disorder diagnosis is another service often required by older people. This is because many health issues suffered by older people such as Parkinson's disease, muscle injury, and degenerative joint disease, result in movement disorder. Early stage diagnosis of these issues usually involves physiologists observing the degree and the symptoms of the disorder. However, even for professionals, it is a challenging problem to accurately diagnose these diseases. The proposed algorithm can evaluate information considering the relationship between the motion and the environment, such as the subtle movement of the feet with respect to the stair in a stair climbing motion. Such kinds of human-environment relationship features have not been fully explored in traditional research, and can potentially improve diagnosis accuracy.

Publications

10 25 50
 
Description In this research, we have investigated several areas of human motion analysis, including 3D motion retrieval, 3D motion analysis, depth-cameras for motion understanding, motion-based human-computer interaction, video-based human action recognition and posture classification.

One of the major findings in this research is that the movement of a single human cannot convey enough information for many motion-related applications. Instead, considering the interaction between multiple humans, or between the human and the environment, can greatly enhance the understanding of the motion, thereby enhancing motion analysis and synthesis. This argument has opened a new direction in human motion related research that can be applied in computer graphics, computer animation, serious games, sport and rehabilitation training, etc. Representative publications include Interaction-based Human Activity Comparison (http://doi.org/10.1109/TVCG.2019.2893247)

Another major finding is that the benefit of interaction does not only apply to human-human/human-environment. The interaction within a single human body, i.e. the relative movement between joints, can greatly benefit human motion analysis. This allows more accurate identification of motion related diseases and introduces new directions on medical applications. Representation publications include Automatic Musculoskeletal and Neurological Disorder Diagnosis with Relative Joint Positions on Gait Patterns (http://doi.org/10.1109/TNSRE.2018.2880871)

To facilitate the capturing and analysis of human motion during interactions, we look into the trending technology of depth cameras. We propose machine learning algorithms to improve the accuracy of such equipment during interactions that consist of a large amount of self-occlusion and environment-occlusion. This allows affordable depth cameras to be used for human motion monitoring during heavy human-environment interaction. We work with many government organizations, including Royal Victoria Infirmary, City Hospitals Sunderland and Sunderland City Council, regarding the use of depth cameras in their health and care services. Representative publications include Kinect Posture Reconstruction based on a Local Mixture of Gaussian Process Models (http://doi.org/10.1109/TVCG.2015.2510000), Improving Posture Classification Accuracy for Depth Sensor-based Human Activity Monitoring in Smart Environments (http://doi.org/10.1016/j.cviu.2015.12.011), Validation of an Ergonomic Assessment Method using Kinect Data in Real Workplace Conditions (http://doi.org/10.1016/j.apergo.2016.10.015).

Finally, we produce novel machine learning algorithms that are used as the backbones of many applications involving 2D images and 3D human data. These algorithms enhance the system capacity and performance for image and data understanding, bridging the gap between 2D and 3D. Representative publications include Discriminative Semantic Subspace Analysis for Relevance Feedback (http://doi.org/10.1109/TIP.2016.2516947), Action Recognition from Arbitrary Views Using Transferable Dictionary Learning (http://doi.org/10.1109/TIP.2018.2836323), Manifold Regularized Experimental Design for Active Learning (http://doi.org/10.1109/TIP.2016.2635440).

For further details of our findings, please refer to the following website: http://info.hubertshum.com
Exploitation Route Our research has generated good academic impact, and our research team has made a name for ourselves in the research circle. We have published our findings in top-quartile journals, in the field of artificial intelligence, computer graphics, computer vision and human motion analysis.

We have ensured open access for all of our research publications, so as to improve the popularity of our research. We have made the databases created in this work freely accessible to the public. Moreover, we have built a website to showcase our research findings and attract potential collaboration opportunities, which can be found at: http://info.hubertshum.com

We have worked with multiple companies and government organizations to transfer some of the knowledge of this project into practical uses, including those from the health sector, sports training and rehabilitation. We are interested in extending our impact in motion understanding to smart homes and automatics surveillance.
Sectors Creative Economy,Digital/Communication/Information Technologies (including Software),Healthcare,Leisure Activities, including Sports, Recreation and Tourism,Other

URL http://info.hubertshum.com
 
Description This project has created impacts in different disciplinary from the industry to the academic. The findings of the projects are highly contributing to human motion analysis, the usage of depth cameras in serious applications, machine learning, computer vision and computer graphics. We worked with companies and government organizations in applying our research findings to practical applications. We worked with NHS Innovation North on a research project for 3D wound measurement and human body size measurement using depth cameras. We submitted two research proposals for future funding. We worked with the City Hospitals Sunderland on body movement monitoring and measurements with depth cameras. We are preparing an EPSRC research proposal for such a project. We also held a showcase and give a seminar in the City Hospitals Sunderland in 2018 to demonstrate our research to medical doctors. We worked in Sunderland City Council for applying our research of human body analysis on wheelchair fitting. We organized a half-day seminar in Sunderland City Council with 4 Northumbria speakers. We worked with the Royal Victoria Infirmary to analyze the human facial motion of cleft lips patients. We submitted a proposal for a research grant from Action Medical Research. We worked with Kinesio UK, which is an international company building the popular Kinesio Tape for sports training and rehabilitation, to build a motion analysis application using our findings. The focus was to analyse motion from patients suffering from musculoskeletal injuries. On top of our research team members, we co-supervised an undergraduate student with the company for such an application. I am part of the conference organization in many conferences. I was the Conference Chair of ACM SIGGRAPH Conference on Motion, Interaction and Games 2019, the Program Chair of the British Machine Vision Conference 2018, the Poster Chair of the ACM Symposium on Virtual Reality Software and Technology 2018, and the Program Chair of the ACM SIGGRAPH Conference on Motion in Games 2016. These conferences brought together experts to share knowledge and research findings.
First Year Of Impact 2015
Sector Creative Economy,Digital/Communication/Information Technologies (including Software),Education,Healthcare,Leisure Activities, including Sports, Recreation and Tourism,Other
Impact Types Societal,Policy & public services

 
Description Creative Fuse North East
Amount £24,000 (GBP)
Organisation Arts & Humanities Research Council (AHRC) 
Sector Public
Country United Kingdom
Start 02/2018 
End 02/2019
 
Description Royal Society International Exchanges
Amount £12,000 (GBP)
Funding ID IES\R2\181024 
Organisation Northumbria University 
Sector Academic/University
Country United Kingdom
Start 12/2018 
End 12/2020
 
Description Royal Society International Exchanges Fund
Amount £11,841 (GBP)
Funding ID IE160609 
Organisation The Royal Society 
Sector Academic/University
Country United Kingdom
Start 01/2017 
End 01/2018
 
Title Face Makeup Image Database - Multiview Discriminative Marginal Metric Learning for Makeup Face Verification 
Description This is the first large scale database consisting of 17k images of before-after makeup pairs of images from the same user. The size of existing databases of this nature is smaller than 1000. 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
Impact The large database allows the implementation of state-of-the-art deep learning algorithms for much better face validation accuracy. This also enables a new direction of research using big-data, as oppose to traditional research using hand-crafted system with human knowledge, due to the availability of the large database. 
URL http://hubertshum.com/info/neurocomputing2019.htm
 
Title Human Motion Database for Action Recognition - Action Recognition from Arbitrary Views Using Transferable Dictionary Learning 
Description In our publication "Action Recognition from Arbitrary Views Using Transferable Dictionary Learning", we introduced the first synthetic 2D and 3D training dataset for view-invariant transfer dictionary learning. The database were released for public usage. 
Type Of Material Database/Collection of data 
Year Produced 2016 
Provided To Others? Yes  
Impact The database benefited the academic and the industry in action recognition. It attracted a collaborative project with Toyota EU (NDA signed), which was implementing a healthcare robot that required action recognition for older people. 
URL http://hubertshum.com/info/icra2016.htm
 
Title Human Motion Database for Disease Classification - Automatic Musculoskeletal and Neurological Disorder Diagnosis with Relative Joint Positions on Gait Patterns 
Description This database includes 3D human motion captured from 45 older people with different health statuses including muscle weakness, joint problem, neurological disorder, healthy. 
Type Of Material Database/Collection of data 
Year Produced 2018 
Provided To Others? Yes  
Impact The database is one of the few openly accessible databases in the field for the disease classification of older people. Our research demonstrates that by considering self-interaction information, i.e. relative joint movement information, automatic classification can perform robustly. 
URL http://hubertshum.com/info/tnsre2018.htm
 
Title Human Motion Database with Realistic Surface Information - Action Recognition from Arbitrary Views Using Transferable Dictionary Learning 
Description In our publication "Action Recognition from Arbitrary Views Using Transferable Dictionary Learning" in IEEE Transactions on Image Processing, we generated a database with matching 2D (i.e. image) and 3D (i.e. surface volume) information. Such a database is useful for action recognition. It is one of the first synthetic database having realistic human surface information in 3D and 2D. The database consists of different action types and is larger than 80GB in actual size. 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
Impact Researchers and industries can use the mentioned database for free in training models for action recognition. Our database have attracted collaborations with City Hospitals Sunderland and Sunderland City Council, who have signed supporting letters to provide in-kind support for the next-stage research and development, which involving using human surface information for health and care services. 
URL http://hubertshum.com/info/tip2018.htm
 
Description INRIA France 
Organisation French National Institute of Agricultural Research
Country France 
Sector Public 
PI Contribution I have co-supervised a PhD funded by INRIA and have consultancy. I have visited INRIA to give a research seminar.
Collaborator Contribution INRIA has worked with my research team to research on human motion analysis. We have produced multiple papers and co-supervised a PhD funded by INRIA. INRIA has also paid for a trip such that I can visit the France institute and give a seminar.
Impact Publications: Pierre Plantard, Hubert P. H. Shum and Franck Multon, "Filtered Pose Graph for Efficient Kinect Pose Reconstruction," Journal of Multimedia Tools and Applications, vol. 76, no. 3, pp. 4291-4312, Springer-Verlag, 2017. Pierre Plantard, Hubert P. H. Shum, Anne-Sophie Le Pierres and Franck Multon, "Validation of an Ergonomic Assessment Tool using Kinect Data in Real Workplace Conditions," Applied Ergonomics, 2016. Pierre Plantard, Hubert P. H. Shum and Franck Multon, "Ergonomics Measurements using Kinect with a Pose Correction Framework," in DHM '16: Proceedings of the 2016 International Digital Human Modeling Symposium, Montreal, Canada, Jun 2016.
Start Year 2015
 
Description Jadavpur University, India 
Organisation Jadavpur University
Country India 
Sector Academic/University 
PI Contribution I and my PhD student, Shanfeng Hu, visited Jadavpur University in 2 trips. I gave a research seminar to Jadavpur's staff and students. We also discus with them about state-of-the-art 3D sensing technologies and gave research insights on smart environments.
Collaborator Contribution 2 professors, Prof. Samiran Chattopadhyay and Prof. Debotosh Bhattacharjee, 1 associate professor, Dr. Matangini Chattopadhyay, and 1 PhD students from Jadavpur University visited Northumbria University in multiple trips. They gave research seminars to our staff and students on machine learning and expert systems.
Impact Successful funding from Royal Society International Exchanges (Ref: IE160609), funding value: £11,841, Principal Investigator: Hubert P. H. Shum, 2017, Project title: An Affective Smart Environment for Personalized Learning and Teaching Supported a collaborative research project with Dr. Matangini Chattopadhyay from Jadavpur University, India Subhas Barman, Hubert P. H. Shum, Samiran Chattopadhyay and Debasis Samanta, "A Secure Authentication Protocol for Multi-server-based e-Healthcare using a Fuzzy Commitment Scheme," IEEE Access, vol. 7, no. 1, pp. 12557-12574, IEEE, 2019. Shanfeng Hu, Hindol Bhattacharya, Matangini Chattopadhyay, Nauman Aslam and Hubert P. H. Shum, "A Dual-Stream Recurrent Neural Network for Student Feedback Prediction using Kinect," in SKIMA '18: Proceedings of the 2018 International Conference on Software Knowledge Information Management and Applications, Phnom Penh, Cambodia, 2018.
Start Year 2016
 
Description Mae Fah Luang Thailand 
Organisation Mae Fah Luang University
Country Thailand 
Sector Academic/University 
PI Contribution I have collaborated with Mae Fah Luang University for two funding applications. The first one is a Newton Fund application that is worth £100,000. The second one is a Newton Mobility Fund application that is worth £24,000. Both applications are about human motion analysis using human-environment interactions, which is the main themes of this research.
Collaborator Contribution Mae Fah Luang University has worked with our research team to produce two joint funding applications. This can potentially bring in further research money to enhance the scale of this project.
Impact Newton Fund application: £100,000 Newton Mobility Fund application: £24,000
Start Year 2016
 
Description Royal Victoria Infirmary, UK 
Organisation Royal Victoria Infirmary
Department Department of Radiology
Country United Kingdom 
Sector Hospitals 
PI Contribution I and a Senior Lecturer, Edmond S. L. Ho, held multiple meetings with the staff from Royal Victoria Infirmary. We provided them with research knowledge in virtual reality and 3D sensing technologies.
Collaborator Contribution David C G Sainsbury and Peter Hodgkinson from Royal Victoria Infirmary delivered medical expertise knowledge. They also applied for medical approval to facilitate facial images capturing with patients and funding application.
Impact Edmond S. L. Ho, Kevin David McCay, Hubert P. H. Shum, Longzhi Yang, David Sainsbury and Peter Hodgkinson, "Patient Assessment Assistant Using Augmented Reality," in Proceedings of the the 2018 UK-China Newton Fund Researcher Links Workshop Health and Well-being Through VR and AR, Xian, China, Jun 2018.
Start Year 2017
 
Description Sunderland City Council 
Organisation Sunderland City Council
Country United Kingdom 
Sector Public 
PI Contribution I am my team presented our work at Sunderland City Council.
Collaborator Contribution Sunderland City Council promised support in kind for my future EPSRC project proposal to be submitted in 2019.
Impact A seminar was organized in March 2019 within Sunderland City Council, in which 4 Northumbria Faculty Members, including Hubert Shum, Edmond Ho, Kamlesh Mistry and Alan Godfrey gave presentations for knowledge sharing and collaborations. An interactive demonstration session was also included for showcasing research equipment and results.
Start Year 2018
 
Description Waseda University, Japan 
Organisation Waseda University
Country Japan 
Sector Academic/University 
PI Contribution I have co-supervised 2 PhD students, Naoya Iwamoto and Naoki Nozawa, and 1 MSc student, Wakana Asahina, from Waseda University. I have been invited to Waseda University twice to do research seminars.
Collaborator Contribution Waseda University provides 2 PhD and 1 MSc students for me to co-supervise. The also pay for two trips for me to visit their university and give research seminars.
Impact Publications: Naoya Iwamoto, Takuya Kato, Hubert P. H. Shum, Ryo Kakitsuka, Kenta Hara and Shigeo Morishima, "DanceDJ: A 3D Dance Animation Authoring System for Live Performance," in ACE '17: Proceedings of the 2017 International Conference on Advances in Computer Entertainment Technology, London, UK, 2017. Wakana Asahina, Naoya Iwamoto, Hubert P. H. Shum and Shigeo Morishima, "Automatic Dance Generation System Considering Sign Language Information," in SIGGRAPH '16: Proceedings of the 2016 ACM SIGGRAPH, pp. 23:1-23:2, Anahelm, California, ACM, Jul 2016. Naoya Iwamoto, Hubert P. H. Shum, Longzhi Yang and Shigeo Morishima, "Multi-layer Lattice Model for Real-Time Dynamic Character Deformation," Comp. Graph. Forum, vol. 34, no. 7, pp. 99-109, John Wiley and Sons Ltd., Oct 2015.
Start Year 2015
 
Description Conference Chair of the ACM SIGGRAPH Conference on Motion, Interaction and Games 2019 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Other audiences
Results and Impact The goal of the Motion, Interaction and Games conference is to bring together researchers from this variety of fields to present their most recent results, to initiate collaborations, and to contribute to the establishment of the research area. My role as the Conference Chair was to oversee the organisation of the whole conference. I led the Programme Chairs, Marie-Paule Cani from École Polytechnique and Tiberiu Popa from Concordia University, to ensure high-quality academic submission and conference programme development. I also managed the publicity and sponsorship team to connect and obtain support from the industry.
Year(s) Of Engagement Activity 2019
URL http://mig2019.website/
 
Description Demo and Poster Chair of the ACM Symposium on Virtual Reality Software and Technology 2018 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Other audiences
Results and Impact I am the Demo and Poster Chair of the ACM Symposium on Virtual Reality Software and Technology in 2018. My role was to connect with industrial practitioners and companies, as well as to select and arrange their demonstrations in the conference. Also, I promoted the conference to academics around the world to attract poster submissions. Waseda University supported my visit to Japan to organize the conference during the conference dates. The conference attracted over 100 attendants.
Year(s) Of Engagement Activity 2018
URL https://vrst.acm.org/vrst2018/
 
Description Invited Speaker from Innovation Showcase Digital by NHS South Tyneside and Sunderland Health Group 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach Local
Primary Audience Professional Practitioners
Results and Impact This event had a Digital theme, providing an opportunity to meet local digital SMEs as well as academics throughout the region with an interest in digital technology. The aim of the showcase was to encourage collaborations that brought benefit to patients. My seminar title was Exploring 3D Technologies for Healthcare Applications. I discussed with the health care practitioners and industry companies on knowledge transfers opportunities in relevant areas. City Hospitals Sunderland had agreed to be a project partner in my EPSRC funding proposal to be submitted.
Year(s) Of Engagement Activity 2018
URL http://old.ahsn-nenc.org.uk/event/innovation-showcase-digital/
 
Description Poster Chair of the ACM Symposium on Virtual Reality Software and Technology 2018 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Other audiences
Results and Impact I am the Poster Chair of the ACM Symposium on Virtual Reality Software and Technology 2018, which is a computer graphics and virtual reality conference held yearly. The conference is sponsored by ACM and is considered as an A rank conference according to the CORE conference ranking database.
Year(s) Of Engagement Activity 2018
 
Description Program Chair of the ACM SIGGRAPH Conference on Motion in Games 2016 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Postgraduate students
Results and Impact The goal of the Motion in Games conference is to bring together researchers and industrial practitioners from this variety of fields to present their most recent results, to initiate collaborations, and to contribute to the establishment of the research area. The conference will consist of regular paper sessions, poster presentations, and as well as presentations by a selection of internationally renowned speakers in all areas related to games and simulation in the context of motion. The conference includes entertaining cultural and social events that foster casual and friendly interactions among the participants.

I organised this conference in 2016 as the Program Chair, and the conference had more than around 100 registered attendances coming from both the academic and the industry. The conference received 47 submissions. Its program consisted of 25 papers (10 long and 15 short) and a poster session. It was sponsored by ACM SIGGRAPH, with papers appearing in the ACM digital library. It was also in cooperation with Eurographics. Financial support was generously provided by Disney Research. For the first time, MIG was being co-located with AIIDE, the Twelfth Annual AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment.
Year(s) Of Engagement Activity 2016
URL https://mig2016.inria.fr/
 
Description Program Chair of the British Machine Vision Conference 2018 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Other audiences
Results and Impact I am the Programme Chair of the the British Machine Vision Conference in 2018. BMVC is the British Machine Vision Association (BMVA) annual conference on machine vision, image processing, and pattern recognition. It is one of the major international conferences on computer vision. Apart from international researchers, the conference also attracted a wide spectrum of international companies, which sponsored the conference and demonstrated their products in the conference.It attracts over 500 attendants from all over the world, and is one of the most significant international conferences in the field.
Year(s) Of Engagement Activity 2018
URL http://bmvc2018.org/
 
Description Program Chair of the International Conference on Software, Knowledge, Information Management & Applications 2018 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Other audiences
Results and Impact The conference aims to bring together researchers and experts in Knowledge Management, Software Engineering and Information Systems to share their ideas, experiences and insights. My role as the programme chair was to attract for submitting high-quality papers in relevant domains. I also designed the programme and invited keynote speaker to enrich and promote the conference.
Year(s) Of Engagement Activity 2018
URL http://skimanetwork.info/skima2018/
 
Description Seminar Organisation with Sunderland City Council - Advanced Technology for Health and Care Services 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach Local
Primary Audience Professional Practitioners
Results and Impact I organised a seminar with Sunderland City Council involving 4 speakers and an interactive demonstration section. The presentations include "Harnessing the Power of 3D Technologies for Health and Care Services" by Dr. Hubert P. H. Shum, "Analyzing Motion and Emotion using Vision-based and Machine Learning Technique" by Dr. Edmond S. L. Ho, "Intelligent Facial Expression and Object Detection Systems for Real-world Applications" by Dr. Kamlesh Mistry and "Wearable Technology as Low-cost Diagnostics in Modern Medicine" by Dr. Alan Godfrey.
Year(s) Of Engagement Activity 2019