This paper proposes a sensor system for monitoring elderly residents living alone in low-income housing, and a local community network model to support these residents. This observation sensor system estimates living conditions by detecting entry point door movement, and safety information on the target residents is delivered to family and support staff via e-mail. In addition, the sensor unit is equipped with a networked flash-lighting and e-mail warning function to notify those in the community about accidents. Design and development costs were minimized by dispersing the flash light-emitting unit of the sensor unit on multiple units, making this a feasible option for low-income elderly residents. In addition, we implemented this sensor system and operated the local community network model at a collective housing to test its efficacy as a new system in real-world conditions. We present that this community network prevents the isolation of the elderly residents using the sensor system installed in their community, and improves communication between residents, their families, and their neighbors, thereby improving their safety. We also show that the community network prevents the isolation of elderly people by quietly keeping constant involvement with people in broader society, and is a social network system aimed at preventing solitary death.
Artificial Life and Robotics – Springer Journals
Published: Mar 29, 2017
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera