The Importance of Real-World Validation of Machine Learning Systems in Wearable Exercise Biofeedback Platforms: A Case Study.

Argent, Rob; Bevilacqua, Antonio; Keogh, Alison; Daly, Ailish; Caulfield, Brian

Argent, Rob; Bevilacqua, Antonio; Keogh, Alison; Daly, Ailish; Caulfield, Brian.

Afiliación

Argent R; Insight Centre for Data Analytics, University College Dublin, D04 V1W8 Dublin, Ireland.
Bevilacqua A; School of Public Health, Physiotherapy and Sport Science, University College Dublin, D04 V1W8 Dublin, Ireland.
Keogh A; Insight Centre for Data Analytics, University College Dublin, D04 V1W8 Dublin, Ireland.
Daly A; School of Computer Science, University College Dublin, D04 V1W8 Dublin, Ireland.
Caulfield B; Insight Centre for Data Analytics, University College Dublin, D04 V1W8 Dublin, Ireland.

Sensors (Basel) ; 21(7)2021 Mar 27.

Article en En | MEDLINE | ID: mdl-33801763

Asunto(s)

Dispositivos Electrónicos Vestibles; Biorretroalimentación Psicológica; Ejercicio Físico; Voluntarios Sanos; Humanos; Aprendizaje Automático

Palabras clave

biofeedback; biomedical technology; exercise therapy; human factors; inertial measurement unit; machine learning; wearables

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Dispositivos Electrónicos Vestibles Tipo de estudio: Guideline / Prognostic_studies Límite: Humans Idioma: En Revista: Sensors (Basel) Año: 2021 Tipo del documento: Article País de afiliación: Irlanda Pais de publicación: Suiza

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