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Human lower limb activity recognition techniques, databases, challenges and its...

Vijayvargiya, A; Singh, B; Kumar, R; João Manuel R. S. Tavares

Human lower limb activity recognition (HLLAR) has grown in popularity over the last decade mainly because to its applications in the identification and control of neuromuscular disorders, security, robotics, and prosthetics. Surface electromyography (sEMG) sensors provide various advantages over other wearable or visual sensors for HLLAR applications, including quick response, pervasiveness, no medical monitori...

Date: 2022   |   Origin: Repositório Aberto da Universidade do Porto
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