Proper running posture guide: A wearable biomechanics capture system

Xiaoyi Zhang, Ming Chun Huang, Fengbo Ren, Wenyao Xu, Nan Guan, Wang Yi

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review


Running is a popular exercise for all age groups. It helps heart and lung functions, enhances muscle strength and control weight. Nevertheless, excessive fatigue and severe injury resulting from inappropriate running poses might reduce the benefits brought by this exercise and stop people from keeping running regularly. In this paper, we design a system that can monitor the running biomechanics, infer running poses, analyze running patterns, and provide both real-time and off-line feedbacks to reduce unnecessary fatigue and unwanted injuries. Common inappropriate running patterns, over-striding, over-pronating and out-sync, are identified and analyzed with the continuous wearable sensor data streams. Two types of correctional feedbacks are designed to provide users appropriate adjustment guidance: vibrating the areas of user body where improper poses are detected and visualizing running video with sensor waveforms to indicate which inappropriate motions trigger the vibration. With reasonable adjustment, running can be a safe and effective activity for a healthy lifestyle.
Original languageEnglish
Title of host publicationBODYNETS 2013 - 8th International Conference on Body Area Networks
Number of pages7
ISBN (Electronic)9781936968893
Publication statusPublished - 1 Jan 2013
Externally publishedYes
Event8th International Conference on Body Area Networks, BODYNETS 2013 - Boston, United States
Duration: 30 Sept 20132 Oct 2013


Conference8th International Conference on Body Area Networks, BODYNETS 2013
Country/TerritoryUnited States

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Networks and Communications
  • Artificial Intelligence


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