Project HBU

Human Behavior Understanding for Automatic Healthcare Monitoring

INTRODUCTION

Fall incidents have been reported as the second most common cause of death, especially for elderly people. Human fall detection is necessary in smart home healthcare systems. The aim of this study was to build health monitoring for elderly by computer vision technology.


PROPOSED SYSTEM ARCHITECTURE

Fist, moving object is segmented from each frame of the input video using GMM method. Then, an ellipse model is built from the segmented part and used for extracting five features. These features are applied for modeling HMM. From the trained HMMs, probability of each observed input data will be calculated to each model, then the best matched HMM model will be selected


PUBLICATIONS

  1. Hoang Le Uyen Thuc, Tuan V. Pham, Jenq-Neng Hwang. “An Effective Camera-based Model for Fall Monitoring of the Elderly”. IEEE International Conference on System Science and Engineering (ICSSE). No: Proceeding. Pages: 48-52. Year 2017.
  2. Hoang Le Uyen Thuc, Shian-Ru Ke and Tuan V. Pham. “Video-based Action Recognition to Assist Mild Cognitive Impairment Prediction”. International Journal of Computer Science and Information Security, ISSN 1947 5500 (ESCI). No: vol. 14(10). Pages: 24-33. Year 2016.
  3. Hong Nguyen.T.K., Hassoon Fahama, Cecile. Belleudy, and Tuan.V. Pham. “Low Power Architecture Exploration for Standalone Fall Detection System Based on Computer Vision”. Vietnam. No: 2014 UKSim-AMSS 8th European Modelling Symposium. Pages: 169-173. Year 2014.
  4. Hong Nguyen.T.K., Cecile. Belleudy, and Tuan.V. Pham. ”Low Power Exploration Design Flow for Fall Detection System”. France. No: GDR SOC/SIP. Pages: 143-145. Year 2014.
  5. Hong Nguyen.T.K., Cecile. Belleudy, and Tuan.V. Pham. “Fall Detection Application on an ARM and FPGA Heterogeneous Computing Platform”. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering. No: Vol.3, Issue 8. Pages: 11349-11357. Year 2014.
  6. Hong Nguyen.T.K., Cecile. Belleudy, and Tuan.V. Pham “Performance and Evaluation Sobel Edge Detection on Various Methodologies”. International Journal of Electronics and Electrical Engineering. No: Vol. 2, No. 1. Pages: 15-20. Year 2014.
  7. Hong Thi Khanh Nguyen, Cecile. Belleudy and Tuan.V. Pham. “Low cost architecture for Fall Detection System”. Cộng hòa Pháp. No: 1. Pages: 1-5. Year 2014.
  8. Hong Thi Khanh Nguyen, Cecile Belleudy and Tuan V. Pham. “HW/SW architecture for fall detection system. Authors”. India. No: 3. Pages: 11349-11357. Year 2014.
  9. Hoang Le Uyen Thuc, Tuan V. Pham. “An Effective Video-based System for Human Fall Detection”. International Journal of Advanced Research in Computer Engineering & Technology , ISSN: 2278 - 1323. No: volume 3 issue 8. Pages: 2820-2826. Year 2014.
  10. Khue Tra, Tuan V.. Pham. “Human fall detection based on adaptive background mixture model and HMM”. Vietnam. No: ATC. Pages: 95-100. Year 2013.
  11. Phung K.Lai, Khue Tra, Tuan V. Pham ”An Ultra-Low Power Consumption Wireless ECG Monitoring System”. Vietnam. No: RUNSUD 2013. Pages: 1-6. Year 2013.
  12. Hoang Le Uyen Thuc, Shian-Ru Ke, Jenq-Neng Hwang, Tuan V. Pham, Truong Ngoc Chau . “Quasi-Periodic Action Recognition from Monocular Videos via 3D Human Models and Cyclic HMMs”. 2012 International Conference on Advanced Technologies for Communications, Ha Noi, Vietnam. No: ISBN 978-1-4673-4350-3. Pages: 110-113. Year 2012.
  13. Le Thi My Hanh, Hoang Le Uyen Thuc, Tuan V. Pham. “A Survey on Advanced Video Based Healthcare Monitoring Systems”. The 2012 International Conference on BioSciences and BioElectronics, Danang, Vietnam. No: Proceeding. Pages: 1-8. Year 2012.
  14. Ngo, Y.T.; Nguyen, H.V.; Tuan V. Pham. “Study on Fall Detection Based On Intelligent Video Analysis”. No: Advanced Technologies for Communications (ATC). Pages: 114-117. Year 2012.
  15. Hoang, T.L.U.; Tuan V. Pham; Hwang, “An Effective 3D Geometric Relational Feature Descriptor for Human Action Recognition”. J.N.. 2012 IEEE RIVF International Conference, Vietnam. No: ISBN: 978-1-4673-0308-8. Pages: 1-6. Year 2012.
  16. Hoang, L.U.T.; Hanh, Le T.M; Tuan V. Pham. “A Survey on Advanced Video-based Healthcare Monitoring Systems”. The 2012 International Conference on BioSciences and BioElectronics - The UD's Journal of Science and Technology. No: Issue 61, Vol 1. Pages: 1-8. Year 2012.
  17. Hoang, L.U.T.; Hwang J.N.; Tuan V. Pham. “Recent Advances On Video-Based Human Walking Gait Analyses”. United Kingdom Vietnam Advance Surveillance Systems workshop 2012 - The UD's Journal of Science and Technology. No: Issue 39 Vol 1. Pages: 270-280. Year 2012.
  18. Hoang, L.U.T.; Ke, S.R.; Hwang J.N.; Tuan V. Pham; Truong, N.C. “Quasi‐Periodic Action Recognition from Monocular Videos via 3D Human Models and Cyclic HMMs”. Vietnam. No: ATC. Pages: 110-113. Year 2012.
  19. Viet Q. Truong, Hieu V. Nguyen, Tuan V. Pham “Fall detection based on Hidden Markov Model”. ICBSE2012, Vietnam. No: Issue 61 Vol 1. Pages: 1-6. Year 2012.
  20. A single camera fall detection using neural network. Tác giả: Ngo, Y.T.; Phung K.Lai; Pham, T.V.. The UD's Journal of Science and Technology. Số: 39. Trang: 270-280. Year 2012.
  21. Threshold-based Versus Artificial Neural Network For Fall Detection. Tác giả: Khue Tra, Viet Q.Truong, Pham, T.V.. The 5th scientific conference of Da Nang University in 2012. Số: 39. Trang: 140-145. Year 2012.