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to the detection of fall-risk situations during assisted gait with the team’s commercial exoskeleton, including sensor data processing and algorithm parameter tuning. ii) Developing and testing software modules
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Bio-inspired controllers, AI and data for Real-Time Prevention”, operation code NORTE2030-FEDER-01179400, financed National Innovation Agency, S.A. (ANI), through the European Regional Development Fund
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achieved: The work plan will consist of: i) improving the development of computational tools and optimizing the parameters of the best tool for detecting fall risk situations in assisted walking with
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; Develop algorithms that adjust the type of pedagogical scaffolding. The goal is always to guide the student without giving the answer, but the way of guiding will be the focus of the adaptation. Fine-tuning