Sensor Fusion and Data Processing
Lead Research Organisation:
University of Manchester
Department Name: Electrical and Electronic Engineering
Abstract
Gait analysis is a study to analyse different walking behaviours. These behaviours change on the basis of age, weight, height and gender in humans. Along with the biometric verifications, gait analysis is widely used in medical and health care applications.
The main emphasis of the research is to investigate the use of appropriate data processing methods to distinguish data obtained from the floor sensing system and sensors on the human body. Raw data obtained from all these sensors will be fused to analyse human activities. This technique could also be used to monitor human neurological, skeletal or muscular disorders.
The main emphasis of the research is to investigate the use of appropriate data processing methods to distinguish data obtained from the floor sensing system and sensors on the human body. Raw data obtained from all these sensors will be fused to analyse human activities. This technique could also be used to monitor human neurological, skeletal or muscular disorders.
Organisations
Publications
Yunas S
(2021)
Gait Activity Classification Using Multi-Modality Sensor Fusion: A Deep Learning Approach
in IEEE Sensors Journal
Yunas S
(2021)
Gait Activity Classification From Feature-Level Sensor Fusion of Multi-Modality Systems
in IEEE Sensors Journal
Costilla-Reyes O
(2020)
Deep Learning: Algorithms and Applications
Alharthi A
(2019)
Deep Learning for Monitoring of Human Gait: A Review
in IEEE Sensors Journal
Studentship Projects
| Project Reference | Relationship | Related To | Start | End | Student Name |
|---|---|---|---|---|---|
| EP/N509565/1 | 01/10/2016 | 30/09/2021 | |||
| 1925970 | Studentship | EP/N509565/1 | 01/10/2017 | 31/03/2021 | Syed Yunas |
| Description | Working on this research i have analysed explored the spatio-temporal data of human gait from floor sensors at The University of Manchester. I have also developed an ambulatory inertial sensor system to monitor and acquire human gait activities. I am researching and designing unique ways of sensor fusion across different modalities. |
| Exploitation Route | Funding can be taken to allow users to collect, process and analyse gait data obtained from floor sensors and wearable inertial sensors. |
| Sectors | Healthcare,Leisure Activities, including Sports, Recreation and Tourism,Security and Diplomacy |
| Description | Conference Participation |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Schools |
| Results and Impact | Presented as 1st Author of 'Multi-modality fusion of floor and ambulatory sensors for gait classification', a conference paper in IEEE- International Symposium on Industrial Electronics 2019, Vancouver, Canada where i had a valuable opportunity to share my ideas and experiences surrounding frontier technologies, breakthroughs, innovative solutions, research results, as well as initiatives related to industrial electronics and their applications. |
| Year(s) Of Engagement Activity | 2019 |