Tech Talk – Sensing and Data Processing for Human Balancing Evaluation

All members of the HKU community and the general public are welcome to join!
Speaker: Miss Yuqing Tian, PhD Candidate, Department of Industrial and Manufacturing Systems Engineering, HKU
Date: 5th July 2022 (Tuesday)
Time: 4:30pm
Mode: Mixed
About the Tech Talk
All members of the HKU community and the general public are welcome to join!
Speaker: Miss Yuqing Tian, PhD Candidate, Department of Industrial and Manufacturing Systems Engineering, Faculty of Engineering, HKU
Moderator: Miss Chen Jiaming, MPhil Candidate, Department of Industrial and Manufacturing Systems Engineering
Date: 5th July 2022 (Tuesday)
Time: 4:30pm
Mode: Mixed (both face-to-face and online). Seats for on-site participants are limited. A confirmation email will be sent to participants who have successfully registered.
Language: English
Balance ability is human’s basic physiological ability that ensures stable standing and walking. Falls are major threats to the health and independent living of the elderly. 10% of the falls in the elderly are associated with fractures, and some can lead to head injuries and deaths. A highly effective human balance sensor is invented, which can capture high-resolution dynamic pressure distribution under human feet. The variation of the pressure distribution can be used to solve the dynamics of human motion while standing on the balance sensor. The algorithms using artificial intelligence are developed to assess the risk of falling for elderly people to help them prevent falls. Furthermore, this sensor can be used to measure balance ability of athletes, such as weightlifting, golf and gymnastics. In medical diagnosis, balance ability tests can provide important information for diagnostics of neural disease. It can also be used to identify drunk driving.
Registration
  • The tech talk “Sensing and Data Processing for Human Balancing Evaluation” will be organized in the Tam Wing Fan Innovation Wing Two (G/F, Run Run Shaw Building, HKU) on 5th July 2022 (Tuesday)4:30 pm.
  • Stay tuned for the registration.
  • Seats are limited. Zoom broadcast is available if the seating quota is full. 
  • Registrants on the waiting list will be notified of the arrangement after the registration deadline (with seating/free-standing/other arrangement)
  • Please read the Campus Access and HKU Vaccine Pass (https://covid19.hku.hk/announcements/all/2022/04/13776/)
About the speaker

Miss Yuqing Tian

Miss Yuqing Tian received the bachelor degree in mechanical engineering from Beijing Institute of Technology, in 2018, and the MSc degree in industrial engineering and logistics management from the University of Hong Kong, in 2020. She is currently pursuing the Ph.D. degree with the Department of Industrial and Manufacturing Systems Engineering, The University of Hong Kong. Her research interests include smart sensing and machine learning.
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