An Activity Transition Based Fall Detection Model on Mobile Devices
Fall detection is a hot research issue in the field of pervasive computing and human-computer interaction. Its key difficulty is to build a fall detection model which obtains high detection accuracy and low false alarm rate simultaneously. In this paper, we propose a fall detection model based on activity transition. Firstly, our method segments continuous activity data based on activity recognition sequence, then extracts features from transition data between adjacent activities to build a fall detection model. Employing this model, we can detect the fall through recognizing abnormal activity transition. Tested on the real-world activity data set, our algorithm outperforms traditional methods.
KeywordsFall detection Activity transition Extreme learning machine One-class SVM Accelerometer Gyroscope
Unable to display preview. Download preview PDF.
- 1.Noury, N., et al.: A Smart Sensor for the Remote Follow up of Activity and Fall Detection of the Elderly. In: Proceedings of 2nd Annual International IEEE-EMBS Special Topic Conference on Micro technologies in Medicine & Biology, pp. 314–317 (2002)Google Scholar
- 2.Hwang, J.Y., et al.: Development of Novel Algorithm and Real-time Monitoring Ambulatory System Using Bluetooth Module for Fall Detection in the Elderly. In: Proceedings of the 26th Annual International Conference of the IEEE EMBS, pp. 2204–2207 (2004)Google Scholar
- 3.Sixsmith, A., Johnson, N.: A Smart Sensor to Detect the Falls of the Elderly. Pervasive Computing, 42–47 (2004)Google Scholar
- 5.Nait-Charif, H., McKenna, S.J.: Activity summarisation and fall detection in a supportive home environment. In: Proceedings of the17th ICPR, pp. 323–326 (2004)Google Scholar
- 6.Devaul, R.W., Dunn, S.: Real-Time Motion Classification for Wearable Computing Applications. Technical report. MIT Media Laboratory (2001)Google Scholar
- 9.Zigel, Y., Litvak, D., Gannot, I.: A Method for Automatic Fall Detection of Elderly People Using Floor Vibrations and Sound—Proof of Concept on Human Mimicking Doll Falls. IEEE Transactions on Biomedical Engineering, 138–143 (2009)Google Scholar
- 10.Diraco, G., Leone, A., Siciliano, P.: An active vision system for fall detection and posture recognition in elderly healthcare. In: Design, Automation & Test in Europe Conference & Exhibition (DATE), pp. 1536–1541 (2010)Google Scholar
- 11.Werner, F., Diermaier, J.: Fall detection with distributed floor-mounted accelerometers: An overview of the development and evaluation of a fall detection system within the project eHome. In: Proceedings of 5th Pervasive Health, pp. 354–361 (2011)Google Scholar