Papers and Patents

Papers by AltumView:

J. Liang, A. Au, M. Chen, C. Chan, J. Zheng, Z. DeVries, Y. Xiao, and Paeton Dhesi, “Skeleton-based Privacy-Preserving Smart Activity Sensor for Senior Care and Patient Monitoring,” MDPI Journal of Sensors, Special Issue on Independent Living: Sensor-Assisted Intelligent Care and Healthcare, submitted, Jan. 2024. Preprint

Papers by other researchers that use AltumView product:

  1. Agarwal, A., Wallace, B., Goubran, R., Knoefel, F., Thomas, N., “Walking Gait Speed Measurement Using Privacy Respecting AI Enabled Visual Sensor”, 2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA), Jun. 2022, Messina, Italy, 6 pages.
  2. Agarwal, A., Wallace, B., Goubran, R., Knoefel, F., Thomas, N., “Method to Improve Gait Speed Assessment for Low Frame Rate AI Enabled Visual Sensor” 2022 IEEE Sensors Applications Symposium (SAS), Aug. 2022, Sundsvall, Sweden, 6 pages.
  3. Agarwal, A. “Methods for Gait Analysis in a Supportive Smart Home”, M.A.Sc. Thesis, Carleton University, 2022.

Patents by AltumView:

  1. Him Wai Ng, Xing Wang, Jiannan Zheng, Andrew Au, Chi Chung Chan, Kuan Huan Lin, Dong Zhang, Eric Honsch,Kwun-Keat Chan, Minghua Chen, Yu Gao, Adrian Auk, Karen Ly-Ma, Adrian Fettes, Jianbing Wu, Ye Lu, Method and System for Privacy-Preserving Fall Detection, US Patent Number 16/672,432, issued, Nov. 23, 2021.
  2. Jiannan Zheng, Chao Shen, Dong Zhang, and Jie Liang, Video-based Fall Risk Assessment System, US patent application 16/731,025, Dec. 30, 2019.
  3. Andrew Tsun-Hong Au, Dong Zhang, Chi Chung Chan, and Jiannan Zheng, Method and System for Privacy-Preserving Health Monitoring, US patent application 17/408,490, Aug. 23, 2021.
  4. C. Chan, D. Zhang, Y. Gao, A. Au, Z. DeVries, J. Liang, Privacy-preserving human action recognition, storage, and retrieval via joint edge and cloud computing, US Patent Application 63/111,621, Nov. 9, 2020.
  5. X. Wang, H. W. Ng, and J. Liang, Convolutional Neural Network (CNN) System based on Resolution-Limited Small-Scale CNN Modules, US Patent Number 10,360,494, Issued, Jul 23, 2019.
  6. X. Wang, M. Seyfi, M. Chen, H. W. Ng, and J. Liang, Face Detection Using Small-Scale Convolutional Neural Network (CNN) Modules for Embedded Systems, US Patent number 10,268,947, Issued, Apr 23, 2019.
  7. X. Wang, M. Seyfi, M. Chen, H. W. Ng, Jiannan Zheng, and J. Liang, Age and Gender Estimation Using Small-Scale Convolutional Neural Network (CNN) Modules for Embedded Systems, US Patent No. 10,558,908, Issued, Feb. 11, 2020.
  8. X. Wang, M. Seyfi, M. Chen, H. W. Ng, and J. Liang, Joint Face-Detection and Head-Pose-Angle-Estimation Using Small-Scale Convolutional Neural Network (CNN) Modules for Embedded Systems, US Patent No. 10,467,458, Issued, Nov. 5, 2019.
  9. M. Seyfi, X. Wang, M. Chen, K. Wang, W. Wang, H. W. Ng, J. Zheng, and J. Liang, Method and Apparatus for Real-Time Face-Tracking and Face-Pose-Selection on Embedded Vision Systems, US Patent No. 10,510,157, Issued, Dec 17, 2019.
  10. H. W. Ng, X. Wang, Y. Gao, R. Ma, and Y. Lu, Enhanced Face-Detection and Face-Tracking for Resource-Limited Embedded Vision Systems, US Patent No. 10,691,925，Issued: Jun. 23, 2020.
  11. Z. Yi, X. Wang, H. W. Ng, S. Ma, and J. Liang, High-Quality Training Data Preparation for High-Performance Face Recognition Systems, US Patent No. 10,943,096，Issued, Mar. 9, 2021.
  12. R. Ma, C. Shen, Y. Gao, Y. Lu, M. Chen, J. Liang, and J. Wu, Obstacle Avoidance System based on Embedded Stereo Vision for Unmanned Aerial Vehicles, US Patent No. 10,776,939，Issued, Sept. 15, 2020.
  13. Y. Gao, E. Honsch, R. Ma, C. Shen, M. Chen, Y. Lu, J. Liang, and J. Wu, High-Performance Visual Object Tracking for Embedded Vision Systems, US Patent No. 11,205,274, issued, Dec. 21, 2021.
  14. Andrew Tsun-Hong Au, Dong Zhang, Chi Chung Chan, Jiannan Zheng, Deep Learning-based Fall Detection based on Human Keypoints, US patent application 17/534,448, allowed, Oct. 24, 2023.
  15. Y. Gao, X. Wang, R. Ma, C. Shen, M. Chen, J. Liang, J. Wu, Real-time visual object tracking for unmanned aerial vehicles (UAVs), US Patent Number 11645765. Issue Date: May 9, 2023.