FINDING LONG TERM TENDENCIES IN DAILY ACTIVITIES OF PEOPLE WITH DEMENTIA BASED ON LOCATION DATA
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- FUJINAMI Tsutomu
- Japan Advanced Institute of Science and Technology, School of Knowledge
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- SUGIHARA Taro
- Japan Advanced Institute of Science and Technology, School of Knowledge
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- MIURA Motoki
- Kyushu Institute of Technology, Faculty of Computer Science and Systems Engineering
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- TAKATSUKA Ryozo
- Care Matrix Tomarigi
Bibliographic Information
- Other Title
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- 屋内位置情報に基づく認知症高齢者の長期的行動変化の分析
- オクナイ イチ ジョウホウ ニ モトズク ニンチショウ コウレイシャ ノ チョウキテキ コウドウ ヘンカ ノ ブンセキ
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Abstract
The development of radio frequency identi?cation (RFID) technology makes it possible to track the daily activities of residents when installed in a residential home. We studied what valuable information can be extracted from location data of the daily activities of residents collected over several years. We installed antennas into a group home housing six people with dementia and asked them to wear slippers into which RFID tags were inserted. Data was collected over thirty months. We found a seasonal trend with all residents but one person who was wheel-chaired. For example, their activity level was lowered during summer. We identi?ed a resident whose activity was in rapid decline three months prior to her death. For another resident who fell down, we identi?ed a rapid decline in activity decline a week prior to the incident. Both also showed a change in their behavioral patterns. Long-term data collection is useful for assessing residents' health conditions. With sufficient data, we can detect abnormalities.
Journal
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- SOCIOTECHNICA
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SOCIOTECHNICA 10 (0), 42-53, 2013
Sociotechnology Research Network
