Results 41 to 50 of about 144,123 (288)

Gestures Everywhere: A Multimodal Sensor Fusion and Analysis Framework for Pervasive Displays [PDF]

, 2014
Gestures Everywhere is a dynamic framework for multimodal sensor fusion, pervasive analytics and gesture recognition. Our framework aggregates the real-time data from approximately 100 sensors that include RFID readers, depth cameras and RGB cameras ...
Aggarwal J. K., Brooks A., Gillian N., Hightower J., Madapura J., Pfenninger S., Thrun S.   +6 more
core   +2 more sources

Generic system for human-computer gesture interaction: applications on sign language recognition and robotic soccer refereeing [PDF]

, 2015
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 ...
D Zhang, DE King, F-S Chen, Fernando Ribeiro, H Kauppinen, H-S Yoon, K Oka, LR Rabiner, Luis Paulo Reis, NH Dardas, Paulo Trigueiros, S Bourennane   +11 more
core   +1 more source

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

Large-scale Isolated Gesture Recognition Using Convolutional Neural Networks

, 2016
This paper proposes three simple, compact yet effective representations of depth sequences, referred to respectively as Dynamic Depth Images (DDI), Dynamic Depth Normal Images (DDNI) and Dynamic Depth Motion Normal Images (DDMNI).
Gao, Zhimin, Li, Wanqing, Liu, Song, Ogunbona, Philip, Tang, Chang, Wang, Pichao   +5 more
core   +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 the Fluid Replacement Method During Online Hemodiafiltration on the Solute Removal Performance and Biocompatibility Using the Asymmetric Cellulose Triacetate Membrane

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction Pre‐dilution online hemodiafiltration (Pre‐HDF) is predominantly used in Japan, whereas post‐dilution online HDF (Post‐HDF) is more common in Europe. An asymmetric cellulose triacetate (ATA) membrane may improve biocompatibility.
Kenji Sakurai, Yoshitaka Kurihara, Fumi Yamauchi, Hiromi Hosoya, Takeshi Saito   +4 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

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

Reciprocal control of viral infection and phosphoinositide dynamics

FEBS Letters, EarlyView.
Phosphoinositides, although scarce, regulate key cellular processes, including membrane dynamics and signaling. Viruses exploit these lipids to support their entry, replication, assembly, and egress. The central role of phosphoinositides in infection highlights phosphoinositide metabolism as a promising antiviral target.
Marie Déborah Bancilhon, Bruno Mesmin
wiley   +1 more source