Wearable sensing system for improvement in sports training
With the rise of wireless sensor technology, it has gained popularity from consumer electronics to health-care applications; these light weight and power efficient embedded sensory devices are also finding their way into the sports industry. With the rising trend of using different techniques by tra...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
2015
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/65544 |
| _version_ | 1811695344513187840 |
|---|---|
| author | Ank Khandelwal |
| author2 | Wang Ping |
| author_facet | Wang Ping Ank Khandelwal |
| author_sort | Ank Khandelwal |
| collection | NTU |
| description | With the rise of wireless sensor technology, it has gained popularity from consumer electronics to health-care applications; these light weight and power efficient embedded sensory devices are also finding their way into the sports industry. With the rising trend of using different techniques by trainers to improve the performance of the athletes, wearable sensors are gaining huge popularity amongst the others. Wearable sensors being light weight can be worn by the user without any hassle and can also perform very complex algorithm calculation which might help in improving their performance. We propose to develop a system for improving sports training focusing on cycling which will help the cyclist and trainers to extract important information which can help them improve their training. This contribution is concerned with the knee flexion angle calculation, pedal stroke calculation and the power measurement using the cycling ergometer. The angle calculation is based on inertial measurement unit data in the context of human motion analysis while cycling, and the number of pedal strokes are also calculated using the same data. The gathered data from the in-house developed IMU sensors is sent to the host PC, processed and sent to the cloud for further processing and visualization. This IMU system and the power calculation system are a part of a larger system which is developed by the Wireless Wearable Sensing Technology Laboratory at Institute for Infocomm Research (I2R). Cycling ergometer CompuTrainer TM is used to get the power output from each session and customize the track according to the users need. The power output available is not in a format which can be sent to the server and mapped with the data obtained from other systems. So a system is designed which extracts the power values and send it to the web server with the correct timestamp in order to map it with the data received. The final system provides real time visualization on a web application of the angle and the power measurement and how it varies with the pedaling strokes . |
| first_indexed | 2024-10-01T07:21:59Z |
| format | Thesis |
| id | ntu-10356/65544 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:21:59Z |
| publishDate | 2015 |
| record_format | dspace |
| spelling | ntu-10356/655442023-03-04T00:38:51Z Wearable sensing system for improvement in sports training Ank Khandelwal Wang Ping School of Computer Engineering A*STAR Institute for Infocomm Research (I2R) DRNTU::Engineering::Computer science and engineering::Theory of computation::Analysis of algorithms and problem complexity DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems DRNTU::Engineering::Electrical and electronic engineering::Applications of electronics With the rise of wireless sensor technology, it has gained popularity from consumer electronics to health-care applications; these light weight and power efficient embedded sensory devices are also finding their way into the sports industry. With the rising trend of using different techniques by trainers to improve the performance of the athletes, wearable sensors are gaining huge popularity amongst the others. Wearable sensors being light weight can be worn by the user without any hassle and can also perform very complex algorithm calculation which might help in improving their performance. We propose to develop a system for improving sports training focusing on cycling which will help the cyclist and trainers to extract important information which can help them improve their training. This contribution is concerned with the knee flexion angle calculation, pedal stroke calculation and the power measurement using the cycling ergometer. The angle calculation is based on inertial measurement unit data in the context of human motion analysis while cycling, and the number of pedal strokes are also calculated using the same data. The gathered data from the in-house developed IMU sensors is sent to the host PC, processed and sent to the cloud for further processing and visualization. This IMU system and the power calculation system are a part of a larger system which is developed by the Wireless Wearable Sensing Technology Laboratory at Institute for Infocomm Research (I2R). Cycling ergometer CompuTrainer TM is used to get the power output from each session and customize the track according to the users need. The power output available is not in a format which can be sent to the server and mapped with the data obtained from other systems. So a system is designed which extracts the power values and send it to the web server with the correct timestamp in order to map it with the data received. The final system provides real time visualization on a web application of the angle and the power measurement and how it varies with the pedaling strokes . Masters of Science (Embedded Systems) 2015-11-06T08:31:52Z 2015-11-06T08:31:52Z 2015 2015 Thesis http://hdl.handle.net/10356/65544 en 63 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Computer science and engineering::Theory of computation::Analysis of algorithms and problem complexity DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems DRNTU::Engineering::Electrical and electronic engineering::Applications of electronics Ank Khandelwal Wearable sensing system for improvement in sports training |
| title | Wearable sensing system for improvement in sports training |
| title_full | Wearable sensing system for improvement in sports training |
| title_fullStr | Wearable sensing system for improvement in sports training |
| title_full_unstemmed | Wearable sensing system for improvement in sports training |
| title_short | Wearable sensing system for improvement in sports training |
| title_sort | wearable sensing system for improvement in sports training |
| topic | DRNTU::Engineering::Computer science and engineering::Theory of computation::Analysis of algorithms and problem complexity DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems DRNTU::Engineering::Electrical and electronic engineering::Applications of electronics |
| url | http://hdl.handle.net/10356/65544 |
| work_keys_str_mv | AT ankkhandelwal wearablesensingsystemforimprovementinsportstraining |