Self-Attention-Based Deep Convolution LSTM Framework for Sensor-Based Badminton Activity Recognition

Sensor-based human activity recognition aims to classify human activities or behaviors according to the data from wearable or embedded sensors, leading to a new direction in the field of Artificial Intelligence. When the activities become high-level and sophisticated, such as in the multiple technic...

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Detalles Bibliográficos
Autores principales: Deng, Jingyang, Zhang, Shuyi, Ma, Jinwen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10611139/
https://www.ncbi.nlm.nih.gov/pubmed/37896468
http://dx.doi.org/10.3390/s23208373

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10611139/
https://www.ncbi.nlm.nih.gov/pubmed/37896468
http://dx.doi.org/10.3390/s23208373

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