Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Ho Chuen Kam"'
Autor:
Ho Chuen Kam, Nathan Chung Kan Lui, Ethan Yi Chen Du, Marcus Ngai Kan Lui, Chun Sing Chan, Yan Ting Cheung, Ka Chun Cheung, Monica Sze Man Leung
Publikováno v:
Theme Issue on AI for Smart Applications. 29:120-128
During these difficult times of COVID-19, people are struggling to return to their normal routines, including going back to schools and workspaces. To prevent the spread of the disease, wearing face masks is essential for everyone to protect themselv
Publikováno v:
SNPD
This paper presents a robust but simple object pose tracking algorithm based on Kalman filtering. Compared to markerless pose tracking, a fiducial marker called ArUco provides a fast and accurate solution to the problem. With these advantages, this m
Publikováno v:
2018 IEEE International Conference on Mechatronics, Robotics and Automation (ICMRA).
Capturing the hand gesture is useful in many virtual reality applications like video games and surgery training for medical students. In this project, we have designed and built a hand tracking glove that is able to track the pose of the hand and the
Autor:
Song Han, Jiantao Wang, Kam-Yiu Lam, Chun Jiang Zhu, Calvin Ho Chuen Kam, Joseph Kee-Yin Ng, Limei Zheng
Publikováno v:
IEEE Transactions on Human-Machine Systems. 45:126-131
This paper describes SmartMood , a mood tracking and analysis system designed for patients with mania . By analyzing the voice data captured from a smartphone while the user is having a conversation, statistics are generated for each behavioral facto
Publikováno v:
2017 International Conference on Mechanical, System and Control Engineering (ICMSC).
In this paper, we investigate the use of Kalman filter to enable robust tracking based on an efficient pose estimation algorithm, namely the four-point algorithm. Pose estimation is very useful in vision-based system control, for example in automatic
Publikováno v:
SPIE Proceedings.
In this paper, we have investigated different methods to calibrate a 3-D scanning system consisting of multiple Kinect sensors. The main function of the scanning system is for the reconstruction of the full surface model of an object. In this work, w
Publikováno v:
Advances in Visual Computing ISBN: 9783319508344
ISVC (1)
ISVC (1)
In this paper, we investigated the use of two Kinects for capturing the 3-D model of a large scene. Traditionally the method of utilising one Kinect is used to slide across the area, and a full 3-D model is obtained. However, this approach requires t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9dd110aac72bf48f5019b7733b57a3b
https://doi.org/10.1007/978-3-319-50835-1_77
https://doi.org/10.1007/978-3-319-50835-1_77
Publikováno v:
ICIA
We present a robust particle filter based visual tracker based on an earlier approach called mean-transform which can track a window with orientation and scale changes. This work is the first work combining sparse coding, mean transform and particle
Autor:
Song Han, Jiantao Wang, Kam-Yiu Lam, Nelson Wai-Hung Tsang, Joseph Kee-Yin Ng, Calvin Ho Chuen Kam
Two of the major considerations in helping patients with Alzheimer's disease are: (1) the monitoring of patients' activities to minimize the risk in their daily lives and (2) to reduce the worsening rate of the symptoms of Alzheimer's disease. By int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4491ff4d93dd4778d1573772985b59f2
https://doi.org/10.4018/978-1-4666-7481-3.ch012
https://doi.org/10.4018/978-1-4666-7481-3.ch012
Publikováno v:
AINA
In this paper, we study how mobile computing and wireless technologies can be explored to provide effective ubiquitous healthcare services. Instead of reinventing the wheels, we make use of smartphones, off-the-shelf components, and existing technolo