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Computer Vision and Machine Learning-Based Gait Pattern Recognition for Flat Fall Prediction.
Chen, Biao; Chen, Chaoyang; Hu, Jie; Sayeed, Zain; Qi, Jin; Darwiche, Hussein F; Little, Bryan E; Lou, Shenna; Darwish, Muhammad; Foote, Christopher; Palacio-Lascano, Carlos.
Afiliação
  • Chen B; State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai 200240, China.
  • Chen C; Orthopaedic Surgery and Sports Medicine, Detroit Medical Center, Detroit, MI 48201, USA.
  • Hu J; State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai 200240, China.
  • Sayeed Z; Orthopaedic Surgery and Sports Medicine, Detroit Medical Center, Detroit, MI 48201, USA.
  • Qi J; State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai 200240, China.
  • Darwiche HF; Orthopaedic Surgery and Sports Medicine, Detroit Medical Center, Detroit, MI 48201, USA.
  • Little BE; Orthopaedic Surgery and Sports Medicine, Detroit Medical Center, Detroit, MI 48201, USA.
  • Lou S; South Texas Health System-McAllen Department of Trauma, McAllen, TX 78503, USA.
  • Darwish M; South Texas Health System-McAllen Department of Trauma, McAllen, TX 78503, USA.
  • Foote C; South Texas Health System-McAllen Department of Trauma, McAllen, TX 78503, USA.
  • Palacio-Lascano C; South Texas Health System-McAllen Department of Trauma, McAllen, TX 78503, USA.
Sensors (Basel) ; 22(20)2022 Oct 19.
Article em En | MEDLINE | ID: mdl-36298311

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Marcha Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Aged / Humans Idioma: En Revista: Sensors (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Marcha Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Aged / Humans Idioma: En Revista: Sensors (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China