Draft:AltumView

AltumView, founded by Dr Jie Liang, is a Canadian company specializing in the development of intelligent camera systems for various applications, including security, monitoring, and automation. The company focuses on creating advanced visual sensing solutions using artificial intelligence and computer vision technologies. Used for various applications, including senior care and telehealth, which can monitor the activities of people such as seniors and patients, collect various statistics about their health, and send alerts when emergencies such as falls are detected

The company emphasizes innovation and research in the field of computer vision, continuously working on improving the capabilities and performance of its products. AltumView aims to provide cutting-edge solutions that meet the evolving demands of various industries, contributing to the advancement of video surveillance and visual intelligence technologies.

AltumView has become a global leader in smart senior care and remote patient monitoring. Their Sentinare smart activity sensor was a CES 2021 Innovation Awards Honoree and is one of only three fall detection devices selected by Amazon’s Alexa Together senior care service, with the best customer review.

Timeline
July 22, 2023: AltumView launched the Sentinare 3 Smart Activity Sensor for senior care and remote patient monitoring. This marks a significant milestone for the company, which has been dedicated to senior care since 2018.

August 3, 2023: The Las Vegas Review-Journal discusses medical alert devices that don't require wearing a button. This indicates a trend towards more user-friendly medical alert systems, potentially relevant to AltumView's focus on senior care technology.

September 19, 2023: AltumView's Sentinare 3 Ground-breaking Elderly Care Sensor was highlighted on Yahoo Finance, emphasizing its role as a game-changer in the realm of elderly care. This further solidifies AltumView's position as a leader in senior care technology.

November 17, 2023: Circle Innovation Solutions allocated $4.7 million in project funding, as reported by Canada Newswire. This funding could contribute to the advancement of health technology, possibly benefiting companies like AltumView working in the healthcare sector.

May 6, 2020: Healthcare IT News provides a guide to connected health devices and remote patient monitoring vendors. While not directly related to AltumView's recent developments, this information underscores the growing importance of remote patient monitoring technologies, which aligns with AltumView's focus on smart sensor systems for healthcare applications.

Dr. Jie Liang
Jie Liang received the B.E. and M.E. degrees from Xi'an Jiaotong University, China, the M.E. degree from National University of Singapore (NUS), and the Ph.D. degree from the Johns Hopkins University, Baltimore, Maryland, USA, in 1992, 1995, 1998, and 2003, respectively. Since May 2004, he has been with the School of Engineering Science, Simon Fraser University, Canada, where he is currently a Professor. He served as the Associate Director of the School in 2015-2018. In 2012, he visited University of Erlangen-Nuremberg, Germany, as an Alexander von Humboldt Research Fellow. From 2003 to 2004, he worked at the Video Codec Group of Microsoft Digital Media Division. From 1997 to 1999, he was with Hewlett-Packard Singapore and the Center for Wireless Communications (now part of the Institute for Infocomm Research), NUS.

Jie Liang's research interests include Image and Video Processing, Computer Vision, and Deep Learning. He is a Fellow of the Canadian Academy of Engineering. He had served as an Associate Editor for the IEEE Transactions on Image Processing (TIP), IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), IEEE Signal Processing Letters (SPL), Signal Processing: Image Communication, and EURASIP Journal on Image and Video Processing. He was also a member of the IEEE Image, Video, and Multidimensional Signal Processing Technical Committee, IEEE Multimedia Systems and Applications (MSA) Technical Committee, and the IEEE Multimedia Signal Processing (MMSP) Technical Committee. He received the 2014 IEEE TCSVT Best Associate Editor Award, 2014 SFU Dean of Graduate Studies Award for Excellence in Leadership, and 2015 Canada NSERC Discovery Accelerator Supplements (DAS) Award. He is a registered Professional Engineer in British Columbia.

Papers
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.