| Author | Kumar, Bathula Sharath |
| Note | A thesis submitted in partial fulfillment of the requirements for the
degree of Master of Engineering in
Microelectronics and Embedded systems |
| Publisher | Asian Institute of Technology |
| Abstract | In today’s elderly population, fall is the major health complication problem. Every year, around the world almost 30 percentage of falls occurs in elderly people aged more than 65. When fall was occurred most of them need assistance to stand up promptly. The longer they stays down on the floor after the fall the injuries becomes more severe as the time passes, so they should be assisted as soon as possible. A fall detection algorithm based on image processing techniques is so much useful in this situation.
This thesis makes use of OpenCV (Open Source Computer Vision) library for all the image processing techniques in python language. This thesis develops a fall detection algorithm and makes it possible in real time on Raspberry pi. In This system fall will be detected based on parameters vertical velocity, aspect ratio, angle, traveled distance and change in height of the elderly people and a mail will be sent through using SMTP protocol. Initially the background will be obtained when the subject is not in frame and after that subject will be tracked frame to frame, this tracking is useful in obtaining above parameters with respect to last frame location. Fall will be confirmed when the change in above parameters is abnormal. The partial objective human detection will be done using Histogram of Oriented Gradients and Linear SVM method. Finally using SMTP protocol we will sends an email whenever human fall is occurred. From the test results, this systems gives an overall of precision, recall and total classification of accuracy is 93.75%, 88.23% and 90.65%. |
| Keyword | Fall detection; Support Vector Machine (SVM); Histogram of Oriented Gradients (HOG); Simple Mail Transfer Protocol (SMTP); Open source Computer Vision (OpenCV) |
| Year | 2019 |
| Type | Thesis |
| School | School of Engineering and Technology (SET) |
| Department | Department of Industrial Systems Engineering (DISE) |
| Academic Program/FoS | Industrial Systems Engineering (ISE) |
| Chairperson(s) | Mongkol Ekpanyapong; |
| Examination Committee(s) | Abeykoon, A.M. Harsha S.;Bohez, Erik L.J. ; |
| Scholarship Donor(s) | AIT Fellowship; |