Schlagwort: fall detection

A draft version of our publication about „Assessment Test Framework for Collecting and Evaluating Fall-Related Data Using Mobile Devices“ is now online available. The final version can be found here as well as the slides of our presentation.
Abstract:

Abstract. With an increasing population of older people the number of falls and fall-related injuries is on the rise. This will cause changes for future health care systems, and fall prevention and fall detection will pose a major challenge. Taking the multimodal character of fall-related parameters into account, the development of adequate strategies for fall prevention and detection is very complex. Therefore, it is necessary to collect and analyze fall-related data.
This paper describes the development of a test framework to perform a variety of assessment tests to collect fall-related data. The aim of the framework is to easily set up assessment tests and analyze the data regarding fall-related behaviors. It others an open interface to support a variety of devices. The framework consists of a Web service, a relational database and a Web-based backend. In order to test the framework, a mobile device client recording accelerometer and gyroscope sensor data is implemented on the iOS platform. The evaluation, which includes three mobility assessment tests, demonstrates the sensor accuracy for move- ment analysis for further feature extraction.

Reference: Almer, S.; Kolbitsch, J.; Oberzaucher, J.; Ebner, M. (2012) Assessment Test Framework for Collecting and Evaluating Fall-Related Data Using Mobile Devices. – in: 13th International Conference on Computers Helping People with Special Needs (ICCHP 2012), Part II. (2012), Miesenberger, K. et al (Ed.), Springer Lecture Notes, Berlin-Heidelberg S. 83 – 90