首页|Research on Robotics Published by a Researcher at Friedrich- Alexander-University Erlangen-Nurnberg (FAU) (A Multimodal Bracelet to Acquire Muscular Activity and Gyroscopic Data to Study Sensor Fusion for Intent Detection)
Research on Robotics Published by a Researcher at Friedrich- Alexander-University Erlangen-Nurnberg (FAU) (A Multimodal Bracelet to Acquire Muscular Activity and Gyroscopic Data to Study Sensor Fusion for Intent Detection)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in robotic s. According to news reporting originating from Erlangen, Germany, by NewsRx cor respondents, research stated, “Researchers have attempted to control robotic han ds and prostheses through biosignals but could not match the human hand.” Funders for this research include German Research Foundation. The news editors obtained a quote from the research from Friedrich-Alexander-Uni versity Erlangen- Nurnberg (FAU): “Surface electromyography records electrical mu scle activity using non-invasive electrodes and has been the primary method in m ost studies. While surface electromyography-based hand motion decoding shows pro mise, it has not yet met the requirements for reliable use. Combining different sensing modalities has been shown to improve hand gesture classification accurac y. This work introduces a multimodal bracelet that integrates a 24-channel force myography system with six commercial surface electromyography sensors, each con taining a six-axis inertial measurement unit. The device’s functionality was tes ted by acquiring muscular activity with the proposed device from five participan ts performing five different gestures in a random order. A random forest model w as then used to classify the performed gestures from the acquired signal.”
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