Results 41 to 50 of about 143,707 (286)

Research on Gesture Recognition Method Based on Computer Vision

MATEC Web of Conferences, 2018
Gesture recognition is an important way of human-computer interaction. With time going on, people are no longer satisfied with gesture recognition based on wearable devices, but hope to perform gesture recognition in a more natural way.
Wang Xianghan, Jiang Jie, Wei Yingmei, Kang Lai, Gao Yingying   +4 more
doaj   +1 more source

HandFormer: A Dynamic Hand Gesture Recognition Method Based on Attention Mechanism

Applied Sciences, 2023
The application of dynamic gestures is extensive in the field of automated intelligent manufacturing. Due to the temporal and spatial complexity of dynamic gesture data, traditional machine learning algorithms struggle to extract accurate gesture ...
Yun Zhang, Fengping Wang
doaj   +1 more source

Asynchronous spiking neurons, the natural key to exploit temporal sparsity [PDF]

, 2019
Inference of Deep Neural Networks for stream signal (Video/Audio) processing in edge devices is still challenging. Unlike the most state of the art inference engines which are efficient for static signals, our brain is optimized for real-time dynamic ...
Cavalcante Holanda, Priscila, Dhoedt, Bart, Hoseini, Sahar, Khoei, Mina A., Leroux, Sam, Linares-Barranco, Bernabe, Moreira, Orlando, Serrano-Gotarredona, Teresa, Simoens, Pieter, Tapson, Jonathan, Yousefzadeh, Amirreza   +10 more
core   +1 more source

Effects of Cancer Treatment on Somatosensory and Nociceptive Processing in Children and Adolescents: A Systematic Review

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Chemotherapy‐induced peripheral neuropathy remains a major complication in pediatric cancer, with disrupted somatosensory and nociceptive processing being a key aspect. This review synthesizes empirical studies on alterations in somatosensory and nociceptive processing in children and adolescents with cancer.
Julia Schweiger, Laura Walz, Michael C. Frühwald, Stefan Lautenbacher, Miriam Kunz   +4 more
wiley   +1 more source

Motion Feature Augmented Recurrent Neural Network for Skeleton-based Dynamic Hand Gesture Recognition

, 2017
Dynamic hand gesture recognition has attracted increasing interests because of its importance for human computer interaction. In this paper, we propose a new motion feature augmented recurrent neural network for skeleton-based dynamic hand gesture ...
Chen, Xinghao, Guo, Hengkai, Wang, Guijin, Zhang, Li   +3 more
core   +1 more source

Generic system for human-computer gesture interaction [PDF]

, 2014
Hand gestures are a powerful way for human communication, with lots of potential applications in the area of human computer interaction. Vision-based hand gesture recognition techniques have many proven advantages compared with traditional devices ...
Reis, L. P., Ribeiro, A. Fernando, Trigueiros, Paulo   +2 more
core   +1 more source

Dynamic Gesture Recognition Based on MEMP Network [PDF]

Future Internet, 2019
In recent years, gesture recognition has been used in many fields, such as games, robotics and sign language recognition. Human computer interaction (HCI) has been significantly improved by the development of gesture recognition, and now gesture recognition in video is an important research direction.
Xinyu Zhang, Xiaoqiang Li
openaire   +2 more sources

Treatment Decision‐Making Roles and Preferences Among Adolescents and Young Adults With Cancer

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Decision‐making (DM) dynamics between adolescents and young adults (AYAs) with cancer, parents, and oncologists remain underexplored in diverse populations. We examined cancer treatment DM preferences among an ethnically and socioeconomically diverse group of AYAs and their parents.
Amanda M. Gutierrez, Jill O. Robinson, Wendy A. Allen‐Rhoades, Hadley S. Smith, Isabel Canfield, Rebecca L. Hsu, Sarah R. Scollon, Lauren R. Desrosiers‐Battu, Nicole M. Schneider, Frank Y. Lin, Donald Williams Parsons, Sharon E. Plon, Mary A. Majumder, Janet Malek, Amy L. McGuire   +14 more
wiley   +1 more source

Multi-modal gesture recognition with voting-based dynamic time warping

International Journal of Advanced Robotic Systems, 2019
Gesture recognition has remained a challenging problem in the fields of human robot interaction. With the development of depth sensors such as Kinect, different modalities become available for gesture recognition while its advantages have not been fully ...
Yiqun Kuang, Hong Cheng, Jiasheng Hao, Ruimeng Xie, Fang Cui   +4 more
doaj   +1 more source

Review of Vision-based Neural Network 3D Dynamic Gesture Recognition Methods [PDF]

Jisuanji kexue
Dynamic gesture recognition,as an important means of human-computer interaction,has received widespread attention.Among them,the visual-based recognition method has become the preferred choice for the new generation of human-computer interaction due to ...
WANG Ruiping, WU Shihong, ZHANG Meihang, WANG Xiaoping
doaj   +1 more source