Results 41 to 50 of about 12,878 (157)
WiGAN: A WiFi Based Gesture Recognition System with GANs
Sensors, 2020 In recent years, a series of research experiments have been conducted on WiFi-based gesture recognition. However, current recognition systems are still facing the challenge of small samples and environmental dependence.
Dehao Jiang, Mingqi Li, Chunling Xu
doaj +1 more source
Hand Motion and Posture Recognition in a Network of Calibrated Cameras
Advances in Multimedia, 2017 This paper presents a vision-based approach for hand gesture recognition which combines both trajectory and hand posture recognition. The hand area is segmented by fixed-range CbCr from cluttered and moving backgrounds and tracked by Kalman Filter.
Jingya Wang, Shahram Payandeh
doaj +1 more source
Development of Hand Gesture Based Electronic Key Using Microsoft Kinect
MATEC Web of Conferences, 2018 Computer vision is one of the fields of research that can be applied in a various subject. One application of computer vision is the hand gesture recognition system. The hand gesture is one of the ways to interact with computers or machines.
Ramadhani Arief +2 more
doaj +1 more source
Gesture Recognition Based on CNN and DCGAN for Calculation and Text Output
IEEE Access, 2019 In the past few years, with the continuous improvement of hardware conditions, deep learning had performed well in solving many problems, such as visual recognition, speech recognition, and natural language processing.
Wei Fang +3 more
doaj +1 more source
Applied Sciences, 2020 Using hand gestures is a natural method of interaction between humans and computers. We use gestures to express meaning and thoughts in our everyday conversations.
Dinh-Son Tran +5 more
doaj +1 more source
Applied SciencesSurgical gesture recognition is an important research direction in the field of computer-assisted intervention. Currently, research on surgical gesture recognition primarily focuses on robotic surgery, with a lack of studies in traditional surgery ...
Yutao Men +6 more
doaj +1 more source
Robotic gesture recognition [PDF]
, 1998 Robots of the future should communicate with humans in a natural way. We are especially interested in vision-based gesture interfaces. In the context of robotics several constraints exist, which make the task of gesture recognition particularly challenging.
Triesch, Jochen +1 more
openaire +3 more sources
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 +4 more
doaj +1 more source
The cortical signature of impaired gesturing: Findings from schizophrenia
NeuroImage: Clinical, 2018 Schizophrenia is characterized by deficits in gesturing that is important for nonverbal communication. Research in healthy participants and brain-damaged patients revealed a left-lateralized fronto-parieto-temporal network underlying gesture performance.
Petra Verena Viher +10 more
doaj +1 more source
Automatic Labeling of Multi-Modal Sensor Training Data for Hand Gesture Analysis
Current Directions in Biomedical EngineeringHand gesture recognition is an important task in human-machine interaction, enabling intuitive and accessible control methods across various applications, including assistive technologies, virtual reality or sign language translation.
Hetto Tom, Reischl Markus
doaj +1 more source