As the elderly population increases, the elderly care using inexpensive technological means becomes critical. This paper presents our prototype system that provides real-time indoor tracking of elderly residents and their belongings, which is essential to assist and secure their independent living. For high-fidelity real-time tracking, we propose novel scheduling algorithms. Our scheduling algorithms are designed by harmonizing both sensing and communication signals and leveraging location-awareness and mobility-consciousness, in order to improve the tracking accuracy while reducing the energy consumption. We performed extensive experiments through both simulation and actual implementation. Our experimental result says that our scheduling algorithms can provide real-time tracking of residents within 20 cm error bound in the typical range of human mobility.
- Real-time and embedded systems
- Ubiquitous computing
ASJC Scopus subject areas
- Theoretical Computer Science
- Hardware and Architecture
- Computational Theory and Mathematics