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Egocentric video: a new tool for capturing hand use of individuals with spinal cord injury at home.
Likitlersuang, Jirapat; Sumitro, Elizabeth R; Cao, Tianshi; Visée, Ryan J; Kalsi-Ryan, Sukhvinder; Zariffa, José.
Afiliación
  • Likitlersuang J; Institute of Biomaterials & Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada.
  • Sumitro ER; KITE, Toronto Rehabilitation Institute, University Health Network, Toronto, Ontario, Canada.
  • Cao T; Institute of Biomaterials & Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada.
  • Visée RJ; KITE, Toronto Rehabilitation Institute, University Health Network, Toronto, Ontario, Canada.
  • Kalsi-Ryan S; KITE, Toronto Rehabilitation Institute, University Health Network, Toronto, Ontario, Canada.
  • Zariffa J; Institute of Biomaterials & Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada.
J Neuroeng Rehabil ; 16(1): 83, 2019 07 05.
Article en En | MEDLINE | ID: mdl-31277682
BACKGROUND: Current upper extremity outcome measures for persons with cervical spinal cord injury (cSCI) lack the ability to directly collect quantitative information in home and community environments. A wearable first-person (egocentric) camera system is presented that aims to monitor functional hand use outside of clinical settings. METHODS: The system is based on computer vision algorithms that detect the hand, segment the hand outline, distinguish the user's left or right hand, and detect functional interactions of the hand with objects during activities of daily living. The algorithm was evaluated using egocentric video recordings from 9 participants with cSCI, obtained in a home simulation laboratory. The system produces a binary hand-object interaction decision for each video frame, based on features reflecting motion cues of the hand, hand shape and colour characteristics of the scene. RESULTS: The output from the algorithm was compared with a manual labelling of the video, yielding F1-scores of 0.74 ± 0.15 for the left hand and 0.73 ± 0.15 for the right hand. From the resulting frame-by-frame binary data, functional hand use measures were extracted: the amount of total interaction as a percentage of testing time, the average duration of interactions in seconds, and the number of interactions per hour. Moderate and significant correlations were found when comparing these output measures to the results of the manual labelling, with ρ = 0.40, 0.54 and 0.55 respectively. CONCLUSIONS: These results demonstrate the potential of a wearable egocentric camera for capturing quantitative measures of hand use at home.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Traumatismos de la Médula Espinal / Grabación en Video / Algoritmos / Actigrafía / Dispositivos Electrónicos Vestibles Tipo de estudio: Guideline / Prognostic_studies Límite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: J Neuroeng Rehabil Asunto de la revista: ENGENHARIA BIOMEDICA / NEUROLOGIA / REABILITACAO Año: 2019 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Reino Unido
Texto completo
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XML
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Traumatismos de la Médula Espinal / Grabación en Video / Algoritmos / Actigrafía / Dispositivos Electrónicos Vestibles Tipo de estudio: Guideline / Prognostic_studies Límite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: J Neuroeng Rehabil Asunto de la revista: ENGENHARIA BIOMEDICA / NEUROLOGIA / REABILITACAO Año: 2019 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Reino Unido