원문정보
초록
영어
Currently, falling to industrial field workers is causing serious injuries. Therefore, many researchers are actively studying the fall by using acceleration sensor, gyro sensor, pressure sensor and image information.Also, as the spread of smartphones becomes common, techniques for determining the fall by using an acceleration sensor built in a smartphone are being studied. The proposed method has complexity due to fusion of various sensor data and it is still insufficient to develop practical application. Therefore, in this paper, we use acceleration sensor module built in smartphone to collect acceleration data, propose a simple falling algorithm based on accelerometer sensor data after normalization and preprocessing, and implement an Android based app.
목차
1. Introduction
2. Pre-Processing
2.1. Smartphone normalization
2.2. SVM (Sum Vector Magnitude)
2.3. LPF (Low Pass Filter)
2.4. Preprocessing Sequence Definition
3. Fall detection algorithm
3.1. SVM value comparison and analysis
3.2. Fall detection algorithm
4. App design and Implement
4.1. App design
4.2. App Implement
5. Experiment and evaluation
6. Conclusion
References