Hong Cheng
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https://adaptive.u-aizu.ac.jp/aslint/index.php?Hong+Cheng
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[[Members-Internal]] CENTER:COLOR(#81111F){SIZE(40){''Mobile Platofrm for 3D-printed Prosthetic Hand''}} ---- *Motivation and Background [#l83fb618] A myoelectric prosthetic allows manipulation of hand movements through surface electromyogram (EMG) signal generated during muscle contraction. However, the lack of an intuitive personal interaction interface leads to unreliable prosthetic manipulation performance and a high rejection rate of the prosthetic hand by the user, which constrains hand prostheses from being commercially viable. In order to have better manipulation of the prosthetic, sEMG-based prosthetic systems require the user to understand his or her EMG signal levels and adjust the thresholds to achieve better control of the prosthetic movements. Its transition to a practical prosthetic solution is still being challenged by various factors particularly those related to the fact that each amputee has different mobility, muscle contraction forces, limb positional variations and electrode placements. Thus, a personal interface that can adjust the parameters of the prosthetic to each individual is required for maximum utility across amputees. In addition, in some specific populations such as pediatric prosthetic users, they are not able to use the prosthetic through their own subjective control and often require an external assistant to assist in its use. Therefore, this requires a simple way to provide external guidance which helps the specific population to understand and train in the use of the prosthetic. In this work, we developed a mobile interface for myoelectric prosthetic that reduces the complexity of operation between the user and the prosthetic system. In particular, it has visualization modules (EMG signal map, mode selection) for adjusting the parameters of the myoelectric prosthetic. The user-friendly personal interface helps the user to establish simple interaction with the prosthetic. *Research Goal [#w8fcfe0e] Provide a low-cost, user-friendly personal interface prosthetic system that would help a diverse amputee population have a better prosthetic experience. *Research Schedule [#p3241c94] |Date|Task| |☑️September 1~15 2022|Hardware development, testing of sensors for current prosthetic systems| |☑️September 16~30, 2022|Software development, functional and communication testing| |October 1~31, 2022|Summarize the current stage of work and write a paper| |November 1~30, 2022|Improve application modules and the paper| CENTER:COLOR(green){Schedule last Updated on: October/1/2022} *Shared Google Folder [#jfa3f986] *Reference [#ucccb299]
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[[Members-Internal]] CENTER:COLOR(#81111F){SIZE(40){''Mobile Platofrm for 3D-printed Prosthetic Hand''}} ---- *Motivation and Background [#l83fb618] A myoelectric prosthetic allows manipulation of hand movements through surface electromyogram (EMG) signal generated during muscle contraction. However, the lack of an intuitive personal interaction interface leads to unreliable prosthetic manipulation performance and a high rejection rate of the prosthetic hand by the user, which constrains hand prostheses from being commercially viable. In order to have better manipulation of the prosthetic, sEMG-based prosthetic systems require the user to understand his or her EMG signal levels and adjust the thresholds to achieve better control of the prosthetic movements. Its transition to a practical prosthetic solution is still being challenged by various factors particularly those related to the fact that each amputee has different mobility, muscle contraction forces, limb positional variations and electrode placements. Thus, a personal interface that can adjust the parameters of the prosthetic to each individual is required for maximum utility across amputees. In addition, in some specific populations such as pediatric prosthetic users, they are not able to use the prosthetic through their own subjective control and often require an external assistant to assist in its use. Therefore, this requires a simple way to provide external guidance which helps the specific population to understand and train in the use of the prosthetic. In this work, we developed a mobile interface for myoelectric prosthetic that reduces the complexity of operation between the user and the prosthetic system. In particular, it has visualization modules (EMG signal map, mode selection) for adjusting the parameters of the myoelectric prosthetic. The user-friendly personal interface helps the user to establish simple interaction with the prosthetic. *Research Goal [#w8fcfe0e] Provide a low-cost, user-friendly personal interface prosthetic system that would help a diverse amputee population have a better prosthetic experience. *Research Schedule [#p3241c94] |Date|Task| |☑️September 1~15 2022|Hardware development, testing of sensors for current prosthetic systems| |☑️September 16~30, 2022|Software development, functional and communication testing| |October 1~31, 2022|Summarize the current stage of work and write a paper| |November 1~30, 2022|Improve application modules and the paper| CENTER:COLOR(green){Schedule last Updated on: October/1/2022} *Shared Google Folder [#jfa3f986] *Reference [#ucccb299]
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