Details
| Original language | English |
|---|---|
| Title of host publication | 2010 4th International Conference on Pervasive Computing Technologies for Healthcare |
| Subtitle of host publication | Pervasive Health 2010 |
| Publication status | Published - 7 Jun 2010 |
| Event | 2010 4th International Conference on Pervasive Computing Technologies for Healthcare, Pervasive Health 2010 - Munich, Germany Duration: 22 Mar 2010 → 25 Mar 2010 |
Publication series
| Name | 2010 4th International Conference on Pervasive Computing Technologies for Healthcare, Pervasive Health 2010 |
|---|
Abstract
Elderly people are the most growing segment of the population. Most of the elderly people like to live an independent life at their own homes in a familiar environment. Living alone is not always safe, and often emergency situations like a fall and unconsciousness occur. We present an ambient assistant living system Altcare, based on static network video cameras. The Altcare automatically learns the common events and their location. Furthermore it detects the emergency situations happening with elderly people. In case of some emergency situations, the Altcare first confirms it with the monitored person. In case of a positive response or no response at all, the emergency situation is notified to the responsible persons, in order to get timely and effective help. Along with personal information and a short medical history of the elderly person, a patch of masked video showing the emergency event is also transmitted. The masked video on one hand maintains the privacy of the elderly people and on the other hand it helps the administrators to diagnose the problem accurately. Masked video is also helpful to provide specific initial first aid. In order to ensure timely help, the system receives acknowledgement for the sent emergency call. Some of the elderly people desire to be checked on a periodic basis. Our system gives the administrators a facility to check the state of the person at any time, which gives the elderly person a sense of safety and mental satisfaction.
Keywords
- Elderly people, Emergency, Fall detection, Monitoring, Vision-based
ASJC Scopus subject areas
- Computer Science(all)
- Computer Science Applications
- Medicine(all)
- Health Informatics
- Health Professions(all)
- Health Information Management
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2010 4th International Conference on Pervasive Computing Technologies for Healthcare: Pervasive Health 2010. 2010. 5482249 (2010 4th International Conference on Pervasive Computing Technologies for Healthcare, Pervasive Health 2010).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Altcare
T2 - 2010 4th International Conference on Pervasive Computing Technologies for Healthcare, Pervasive Health 2010
AU - Shoaib, Muhammad
AU - Elbrandt, Tobias
AU - Dragon, Ralf
AU - Ostermann, Jörn
PY - 2010/6/7
Y1 - 2010/6/7
N2 - Elderly people are the most growing segment of the population. Most of the elderly people like to live an independent life at their own homes in a familiar environment. Living alone is not always safe, and often emergency situations like a fall and unconsciousness occur. We present an ambient assistant living system Altcare, based on static network video cameras. The Altcare automatically learns the common events and their location. Furthermore it detects the emergency situations happening with elderly people. In case of some emergency situations, the Altcare first confirms it with the monitored person. In case of a positive response or no response at all, the emergency situation is notified to the responsible persons, in order to get timely and effective help. Along with personal information and a short medical history of the elderly person, a patch of masked video showing the emergency event is also transmitted. The masked video on one hand maintains the privacy of the elderly people and on the other hand it helps the administrators to diagnose the problem accurately. Masked video is also helpful to provide specific initial first aid. In order to ensure timely help, the system receives acknowledgement for the sent emergency call. Some of the elderly people desire to be checked on a periodic basis. Our system gives the administrators a facility to check the state of the person at any time, which gives the elderly person a sense of safety and mental satisfaction.
AB - Elderly people are the most growing segment of the population. Most of the elderly people like to live an independent life at their own homes in a familiar environment. Living alone is not always safe, and often emergency situations like a fall and unconsciousness occur. We present an ambient assistant living system Altcare, based on static network video cameras. The Altcare automatically learns the common events and their location. Furthermore it detects the emergency situations happening with elderly people. In case of some emergency situations, the Altcare first confirms it with the monitored person. In case of a positive response or no response at all, the emergency situation is notified to the responsible persons, in order to get timely and effective help. Along with personal information and a short medical history of the elderly person, a patch of masked video showing the emergency event is also transmitted. The masked video on one hand maintains the privacy of the elderly people and on the other hand it helps the administrators to diagnose the problem accurately. Masked video is also helpful to provide specific initial first aid. In order to ensure timely help, the system receives acknowledgement for the sent emergency call. Some of the elderly people desire to be checked on a periodic basis. Our system gives the administrators a facility to check the state of the person at any time, which gives the elderly person a sense of safety and mental satisfaction.
KW - Elderly people
KW - Emergency
KW - Fall detection
KW - Monitoring
KW - Vision-based
UR - http://www.scopus.com/inward/record.url?scp=77954407956&partnerID=8YFLogxK
U2 - 10.4108/ICST.PERVASIVEHEALTH2010.8878
DO - 10.4108/ICST.PERVASIVEHEALTH2010.8878
M3 - Conference contribution
AN - SCOPUS:77954407956
SN - 9789639799899
T3 - 2010 4th International Conference on Pervasive Computing Technologies for Healthcare, Pervasive Health 2010
BT - 2010 4th International Conference on Pervasive Computing Technologies for Healthcare
Y2 - 22 March 2010 through 25 March 2010
ER -