Results 11 to 20 of about 6,510,714 (295)
Multiscale Convolutional Neural Networks for Hand Detection [PDF]
Applied Computational Intelligence and Soft Computing, 2017 Unconstrained hand detection in still images plays an important role in many hand-related vision problems, for example, hand tracking, gesture analysis, human action recognition and human-machine interaction, and sign language recognition.
Shiyang Yan +4 more
doaj +2 more sources
Hand gesture recognition for multimedia applications [PDF]
, 2008 Hand gesture is potentially a very natural and useful modality for human-machine interaction. It is considered to be one of the most complicated and interesting challenges in computer vision due to its articulated structure and environmental variations.
Al-Rajab, Moaath
core +7 more sources
Multi-Granularity Hand Action Detection [PDF]
Proceedings of the 32nd ACM International Conference on MultimediaAccepted by ACM MM ...
Ting Zhe +5 more
core +4 more sources
The effectiveness of origami on overall hand function after injury: A pilot controlled trial [PDF]
, 2008 This pilot study measured the effectiveness of using origami to improve the overall hand function of outpatients attending an NHS hand injury unit. The initiative came from one of the authors who had used origami informally in the clinical setting and ...
Marston, L +3 more
core +5 more sources
Hands on the wheel: A Dataset for Driver Hand Detection and Tracking [PDF]
2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018), 2018 The ability to detect, localize and track the hands is crucial in many applications requiring the understanding of the person behavior, attitude and interactions. In particular, this is true for the automotive context, in which hand analysis allows to predict preparatory movements for maneuvers or to investigate the driver's attention level.
Guido Borghi +3 more
openaire +1 more source
Deep Learning for Highly Accurate Hand Recognition Based on Yolov7 Model
Big Data and Cognitive Computing, 2023 Hand detection is a key step in the pre-processing stage of many computer vision tasks because human hands are involved in the activity. Some examples of such tasks are hand posture estimation, hand gesture recognition, human activity analysis, and other
Christine Dewi +2 more
doaj +1 more source
Recognize The Alphabet of Fingerspelling Using Statistical Classifiers to Facilitate Communication Between Hearing-Impaired Persons and Others [PDF]
Mağallaẗ Kulliyyaẗ Al-Adāb Bi-Qinā, 2022 The predominant method of communication for hearing-impaired and deaf people is still sign language. It is a carefully constructed hand gesture language, and each motion denotes a certain meaning.
Amr Mohmed Soliman +2 more
doaj +1 more source
Driving, work, wound care and rehabilitation after carpal tunnel release: Consensus recommendations from a UK Delphi study [PDF]
, 2022 Introduction There is variability in the information available for patients after carpal tunnel release (CTR). We aimed to establish (i) what advice should be provided regarding return to driving after CTR; (ii) how work activities should be categorised ...
Madan, Ira +8 more
core +1 more source
Content-Adaptive and Attention-Based Network for Hand Gesture Recognition
Applied Sciences, 2022 For hand gesture recognition, recurrent neural networks and 3D convolutional neural networks are the most commonly used methods for learning the spatial–temporal features of gestures. The calculation of the hidden state of the recurrent neural network at
Zongjing Cao, Yan Li, Byeong-Seok Shin
doaj +1 more source
Big Data and Cognitive Computing, 2022 The human hand is involved in many computer vision tasks, such as hand posture estimation, hand movement identification, human activity analysis, and other similar tasks, in which hand detection is an important preprocessing step.
Christine Dewi, Henoch Juli Christanto
doaj +1 more source