In this paper, a social- and context-aware multi-sensor platform is presented, which integrates information gathered by a plethora of fall detection systems and sensors at the home of the elderly, by using a cloud-based solution, making use of an ontology.
Archive | Falls Detection
Pilot evaluation of an unobtrusive system to detect falls at night time
In this study, a previously proposed unobtrusive nighttime fall detection system based on wireless passive infrared sensors and furniture load sensors is evaluated in a pilot study involving three older subjects, monitored for a combined total of 174 days.
An automatic fall detection framework using data fusion of Doppler radar and motion sensor network
This paper describes the ongoing work of detecting falls in independent living senior apartments. We have developed a fall detection system with Doppler radar sensor and implemented ceiling radar in real senior apartments.
Detecting human falls with 3-axis accelerometer and depth sensor
In this work we present a novel approach to fall detection that allows us to achieve reliable fall detection in larger areas through using the Kinect sensor.
