title: [Intelligent videosurveillance and falls detection: Perceptions of professionals and managers].
abstract: METHODS
  Gerontechnologies can be used to detect accidental falls. However, existing systems do not entirely meet users' expectations. Our team developed an intelligent video-monitoring systems to fill these gaps. Authors advocate consulting potential users at the early stages of the design of gerontechnologies and integrating their suggestions.
  
  
  OBJECTIVE
  This study aims to explore health care workers' opinion regarding the intelligent video monitoring to detect falls by older adults living at home.
  
  
  METHODS
  This qualitative study explored the opinions of 31 participants using focus groups. Transcripts were analyzed using predetermined codes based on the competence model.
  
  
  RESULTS
  Participants reported several advantages for using the intelligent video monitoring and provided suggestions for improving its use.
  
  
  CONCLUSIONS
  The participants' suggestions and comments will help to improve the system and match it to users' needs.
authors.forename: Nolwenn
authors.initials: N
authors.lastname: Lapierre
authors.forename: Isabelle
authors.initials: I
authors.lastname: Carpentier
authors.forename: Alain
authors.initials: A
authors.lastname: St-Arnaud
authors.forename: Francine
authors.initials: F
authors.lastname: Ducharme
authors.forename: Jean
authors.initials: J
authors.lastname: Meunier
authors.forename: Mireille
authors.initials: M
authors.lastname: Jobidon
authors.forename: Jacqueline
authors.initials: J
authors.lastname: Rousseau
mesh_terms: D000058:Accidental Falls; D000368:Aged; D001291:Attitude of Health Personnel; D005260:Female; D005853:Geriatrics; D006801:Humans; D057187:Independent Living; D000067896:Industrial Development; D008297:Male; D036301:Qualitative Research; D017751:Safety Management; D014741:Video Recording
keywords: caméra; chutes accidentelles; maintien à domicile; membres de professions paramédicales; technologie