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Quaternion-Based Gesture Recognition Using Wireless Wearable Motion Capture Sensors

This work presents the development and implementation of a unified multi-sensor human motion capture and gesture recognition system that can distinguish between and classify six different gestures. Data was collected from eleven participants using a subset of five wireless motion sensors (inertial m...

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Библиографические подробности
Опубликовано в: :Sensors (Basel)
Главные авторы: Alavi, Shamir, Arsenault, Dennis, Whitehead, Anthony
Формат: Artigo
Язык:Inglês
Опубликовано: MDPI 2016
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Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC4883296/
https://ncbi.nlm.nih.gov/pubmed/27136554
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s16050605
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