Cargando…
Lightweight Football Motion Recognition and Intensity Analysis Using Low-Cost Wearable Sensors
In recent years, machine learning has been utilized in health informatics and sports science. There is a great demand and development potential for combining the Internet of Things (IoT) and artificial intelligence (AI) to be applied to football sports. The conventional teaching and training methods...
Autores principales: | Xie, Qian, Jin, Ning, Lu, Shanshan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10356487/ https://www.ncbi.nlm.nih.gov/pubmed/37476416 http://dx.doi.org/10.1155/2023/2354728 |
Ejemplares similares
-
Activity Recognition Invariant to Sensor Orientation with Wearable Motion Sensors
por: Yurtman, Aras, et al.
Publicado: (2017) -
A Lightweight Attention-Based CNN Model for Efficient Gait Recognition with Wearable IMU Sensors
por: Huang, Haohua, et al.
Publicado: (2021) -
Inertial Sensor-Based Motion Tracking in Football with Movement Intensity Quantification
por: Wilmes, Erik, et al.
Publicado: (2020) -
An End-to-End Deep Learning Pipeline for Football Activity Recognition Based on Wearable Acceleration Sensors
por: Cuperman, Rafael, et al.
Publicado: (2022) -
Quaternion-Based Gesture Recognition Using Wireless Wearable Motion Capture Sensors
por: Alavi, Shamir, et al.
Publicado: (2016)