Falling while walking can become life-threatening for the elderly, and individuals who have lower limb motor impairment. Even though walking is easily achieved for people who are healthy, it is a complicated task involving highly organized collaborations among the nervous system, musculoskeletal system, and the environment. Only one missing piece in this integration can cause deterioration of dynamic balance. Unfortunately, our current understanding of dynamic balance for human bipedal walking, and our ability to re-create it with robotics, is incomplete (see DARPA Robotics Challenge https://www.youtube.com/watch?v=NeFkrwagYfc). A better understanding of dynamic balance during walking is needed to develop assistive technologies and/or clinical applications to help people at risk of falling avoid this potentially life-threatening event. In the proposed project, we will investigate the dynamic balance of human walking. Using an obtained data set, we will analyze human walking with a concept established to control bipedal robots. We will see whether the concept can account for the dynamic balance of human walking similarly to bipedal robots. The findings will be used to develop assistive technologies or effective clinical therapies in the future.
The results of analyses using the previously obtained data set.
This will be discussed later with the professor.
Mech Eng, any year. Experience of Matlab is preferred but not necessary.
Assistant Professor, IBBME
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