Smart home care network using sensor fusion and distributed vision-based reasoning

Abstract

A wireless sensor network employing multiple sensing and event detection modalities and distributed processing is proposed for smart home monitoring applications. Image sensing and vision-based reasoning are employed to verify and further analyze events reported by other sensors. The system has been developed to address the growing application domain in caregiving to the elderly and persons in need of monitored living, who care to live independently while enjoying the assurance of timely access to caregivers when needed. An example of sensed events is the accidental fall of the person under care. A wireless badge node acts as a bridge between the user and the network. The badge node provides user-centric event sensing functions such as detecting falls, and also provides a voice communication channel between the user and the caregiving center when the system detects an alert and dials the center. The voice connection is carried over an IEEE 802.15.4 radio link between the user badge and another node in the network that acts as a modem. Using signal strength measurements, the network nodes keep track of the approximate location of the user in the monitoring environment. The network also includes wall-mounted image sensor nodes, which are triggered upon detection of a fall to analyze their field-of-view and provide the caregiving center with further information about the user's status. A description of the developed network and several examples of the vision-based reasoning algorithm are presented in the paper.

Pervasive Homecare Monitoring Technologies and Applications

“…Image sensors detect the position of the patient and a sudden fall can be verified through image processing analysis [34]. Monitoring methods that need special equipment to be installed on site are, among others, are the overhead tracking of the patient through cameras in indoor locations, which provides the movement trajectory and gives information about the user activity on predetermined monitored areas.…”

An Advanced Home Eldercare Service

“…In addition to monitoring normal daily activities and detecting potential adverse events such as falls, the system aims to capture signs of deterioration of the patients by analyzing subtle changes in posture and gait (Lo et al, 2005). In their later work, they used image sensing and vision-based reasoning to verify and further analyze events reported by other sensors such as Accelerometer for fall detection (Tabar et al, 2006). The Honeywell Laboratories' Independent Life Style Assistant(ILSA) is another notable example of integrated smart environments which aim at ubiquitous assistance (Haigh et al, 2004).…”

Smart parking service based on Wireless Sensor Networks

“…These modules can rapidly and easily be deployed to collect, process, and transmit information. The wireless sensor networks can be applied to many field areas [2][3] such as environmental monitoring [4], surveillance [5], smart home [6], agricultural [7], child education [8], emergency medical care with mobile device [9], etc.…”