그림. Ohand(OYmotion)
Features
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Prosthetic hand that perfectly mimics the structure and behavioral characteristics of the hand (27 movements in total)
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Up to 8 channels of electromyography
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Low cost compared to existing biomimetic prosthetic hands
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Implementation of motion through electromyogram measurement
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AI algorithm to identify motion intent and control artificial hand behavior
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Behavior can be controlled through a dedicated app
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Electromyogram boundary value can be adjusted through the dedicated app
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2 modes in the dedicated app / 3 grip behaviors can be specified in each mode
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Mode conversion can be converted by pressing the button on the back of the hand
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Manual wrist rotation available
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Battery life: 12 hours (internal) / 6 hours (replaceable)
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Weight: approximate 500g
For researchers
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Allows researchers to use their own motion recognition algorithms as input signals- Researchers can implement their own hand gestures
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Provides dedicated API and UART communication board
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Basic 2-channel electromyography electrodes provided / (Optional 8-channel electromyography electrodes)
