Results 251 to 260 of about 6,510,714 (295)

Detection of gasoline on arson suspects’ hands

Forensic Science International, 2011
An arson suspect's contact with an ignitable liquid container can leave small traces of the substance on his hands, but detecting these traces is difficult. This research paper presents a method to obtain clear gasoline detection even 3h after hands have been moistened with 50 μL of gasoline using activated charcoal strips to adsorb the ignitable ...
Dan, Muller, Aharon, Levy, Ran, Shelef
openaire   +2 more sources

Whose Hands are These? Hand Detection and Hand-Body Association in the Wild

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Supreeth Narasimhaswamy, Thanh Nguyen, Mingzhen Huang, Minh Hoai   +3 more
openaire   +2 more sources

Tracking hand movements and detecting grasp

2016 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), 2016
Post stroke rehabilitation exercises are often repetitive and monotonous. Interactive gaming technology plays an important role of encouraging patients to exercise more and makes rehabilitation exercises less monotonous. In this paper, a real-time method for interaction between human and computer is explored which utilizes Microsoft Kinect to measure ...
Rana Sadeghi Chegani, Carlo Menon
openaire   +1 more source

Real-time detection of hand gestures

2016 21st International Conference on Methods and Models in Automation and Robotics (MMAR), 2016
This paper presents one of the approaches to the gesture recognition problem, which might be valuable in development of social robots, companions for deaf-mute people or in design of new control methods. A universal PC application for gesture recognition in image sequence acquired from a simple USB camera in real-time was made.
Piotr Muzyka, Marek Frydrysiak, Elzbieta Roszkowska   +2 more
openaire   +2 more sources

Hand detection on sign language videos

Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments, 2014
For gesture and sign language recognition, hand shape and hand motion are the primary sources of information that differentiate one sign from another. Building an efficient and reliable hand detector is therefore an important step in recognizing signs and gestures. In this paper we evaluate three hand detection methods on three sign language data sets:
Zhong Zhang 0008, Christopher Conly, Vassilis Athitsos   +2 more
openaire   +1 more source

Automatic Digit Hand Sign Detection With Hand Landmark

2022 International Conference on Machine Learning and Cybernetics (ICMLC), 2022
Rung-Ching Chen, William Eric Manongga, Christine Dewi, Hung-Yi Chen   +3 more
openaire   +1 more source

Hand Detection by Direct Convexity Estimation

2005
We suggest a novel attentional mechanism for detection of smooth convex and concave objects based on direct processing of intensity values. The operator detects the region of the forearm in images, enabling location of the hand. The operator is robust to variation in illumination, scale, pose, and hand orientation.
Dganit Maimon, Yehezkel Yeshurun
openaire   +1 more source

Image Enhancement for Hand Sign Detection

Proceedings of the 11th International Conference on Signal Processing and Multimedia Applications, 2014
This paper proposes compact hand extraction to assist in computerized handshape recognition. We devised an image enhancement technique based on singular value decomposition to remove dark backgrounds by reserving the skin color pixels of a hand image. The polynomial approximation YCbCr color model was then used to extract the hand.
Jing-Wein Wang, Tzu-Hsiung Chen, Tsong-Yi Chen   +2 more
openaire   +2 more sources

Fast hand detection and gesture recognition

2015 International Conference on Machine Learning and Cybernetics (ICMLC), 2015
A fast hand detection and gesture recognition method is proposed in this paper. To reduce the computation time, we employ symmetric mask-based discrete wavelet transform (SMDWT) to reduce the image resolution and then utilize the extracted characteristics to perform hand detection and gesture recognition.
Yuh-Rau Wang, Jia-Liang Syu, Hsin-Ting Li, Ling Yang 0005   +3 more
openaire   +1 more source

Detection of foreign bodies in hand

The Journal of Hand Surgery, 1993
A, Lejeune, M, Nizet
openaire   +2 more sources