首页|Ruhr-University Bochum Researchers Publish New Studies and Findings in the Area of Brain-Based Devices (Human in the collaborative loop: a strategy for integrat ing human activity recognition and non-invasive brain-machine interfaces to cont rol ...)
Ruhr-University Bochum Researchers Publish New Studies and Findings in the Area of Brain-Based Devices (Human in the collaborative loop: a strategy for integrat ing human activity recognition and non-invasive brain-machine interfaces to cont rol ...)
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2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on br ain-based devices. According to news originating from Bochum, Germany, by NewsRx correspondents, research stated, "Human activity recognition (HAR) and brain-ma chine interface (BMI) are two emerging technologies that can enhance human-robot collaboration (HRC) in domains such as industry or healthcare." Our news reporters obtained a quote from the research from Ruhr-University Bochu m: "HAR uses sensors or cameras to capture and analyze the movements and actions of humans, while BMI uses human brain signals to decode action intentions. Both technologies face challenges impacting accuracy, reliability, and usability. In this article, we review the state-of-the-art techniques and methods for HAR and BMI and highlight their strengths and limitations. We then propose a hybrid fra mework that fuses HAR and BMI data, which can integrate the complementary inform ation from the brain and body motion signals and improve the performance of huma n state decoding."
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