Publication | Closed Access
An intelligent videomonitoring system for fall detection at home: perceptions of elderly people
91
Citations
26
References
2009
Year
EngineeringWearable TechnologyIntelligent SystemsHuman MonitoringIntelligent Videomonitoring SystemElderly PeoplePattern RecognitionAssisted LivingVideo Content AnalysisTelehealthContent AnalysisHome SecurityFall PreventionAssistive TechnologyGeriatricsElderly CareUser ExperienceRehabilitationComputer VisionNursingMotion DetectionVideo AnalysisHuman-computer InteractionFall DetectionActive AgeingMedicineActivity Recognition
We explored the perception and receptivity of elderly people regarding the introduction of an intelligent videomonitoring system (IVS) at home. Using a mixed methods design, 25 elderly people with a history of falls completed a structured interview (two questionnaires). In the year preceding the interview, 72% of the participants fell as many as seven times. Open-ended questions (qualitative data) were used to supplement the quantitative data. A content analysis (qualitative data) and a descriptive analysis (quantitative data) were carried out. The participants were 84% favourable or partially favourable to technologies which ensured home security and 96% favourable or partially favourable to the IVS. About half (48%) said that they would use it. The other participants did not wish to use it unless they had been left to live alone or if their health condition worsened. Thus the living conditions of the elderly appear to influence their perception and receptivity regarding the acceptance and use of an IVS.
| Year | Citations | |
|---|---|---|
Page 1
Page 1