A Smart Sensor to Detect the Falls of the Elderly
IEEE Pervasive Computing
CyARM: an alternative aid device for blind persons
CHI '05 Extended Abstracts on Human Factors in Computing Systems
PERCOMW '06 Proceedings of the 4th annual IEEE international conference on Pervasive Computing and Communications Workshops
Dangerous situation awareness support system for elderly people with dementia
IASTED-HCI '07 Proceedings of the Second IASTED International Conference on Human Computer Interaction
Sensor based micro context for mild dementia assistance
Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments
Multimodal situational awareness for eldercare
ICOST'10 Proceedings of the Aging friendly technology for health and independence, and 8th international conference on Smart homes and health telematics
Human-centric situational awareness in the bedroom
ICOST'11 Proceedings of the 9th international conference on Toward useful services for elderly and people with disabilities: smart homes and health telematics
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There are various dangers that could lead to accidents in daily life at home. It is difficult for elderly people to realize these dangers beforehand. In this study, we focus on a method for enhancing the risk perception of elderly people. We have developed a system that enhances the awareness of dangerous situations. It performs the following functions: (1) it recognizes the behavior and situation of the elderly person, (2) it estimates the risk, and (3) when the risk is estimated to be high, it notifies the person of the risk by means of visual and audio cues. In this paper, we outline our system and report a user test that evaluates the notification function, particularly the use of visual cues in our experimental living environment. The result is that the visual cues are suitable for elderly rather than healthy people in the environment of a dark room. As a future work, we will investigate the effects of visual and audio cues as notifications of danger for elderly people.