Publication: Human fall detection by using the body vector
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Issued Date
2017
Resource Type
File Type
application/pdf
Other identifier(s)
2-s2.0-85017505310
Rights Holder(s)
มหาวิทยาลัยศรีนครินทรวิโรฒ
Bibliographic Citation
2017 9th International Conference on Knowledge and Smart Technology: Crunching Information of Everything, KST 2017. (2017), p.162-165
Suggested Citation
Pattamaset S., Charoenpong T., Charoenpong P., Chianrabutra C. Human fall detection by using the body vector. 2017 9th International Conference on Knowledge and Smart Technology: Crunching Information of Everything, KST 2017. (2017), p.162-165. doi:10.1109/KST.2017.7886075 Retrieved from: https://hdl.handle.net/20.500.14740/4213
Abstract
Due to a problem of current research occurring when detecting a human falling in a camera direction, we propose a new method for detecting human fall detection by using body vector technique. This method consists of three steps. Two image sequence is used as the input of the system. Firstly markers are affixed on sixteen joints. These markers are extracted by using mahalanobis distance. Secondly, the stereo vision technique is used to construct human joints in three dimensional space. Finally, joint coordinates are used to compute principal component vector. Human falling is detected from an angle between the human body vector and the vertical axis and the human center velocity. To test the performance of the proposed method, subject walks to the cameras. Falling down in the camera direction by twenty subjects is used. Accuracy is 100%. This method perform effectively for detecting human falling in the camera direction. © 2017 IEEE.