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[IEEE 2018 10th International Conference on Wireless Communications and Signal Processing (WCSP) - Hangzhou (2018.10.18-2018.10.20)] 2018 10th International Conference on Wireless Communications and Signal Processing (WCSP) - Dynamic Hand Gesture Recognition Using FMCW Radar Sensor for Driving Assistance
摘要： Dynamic hand gesture recognition is very important for human-computer interaction. In vehicles, hand gesture recognition can be used as the driver's auxiliary system to achieve remote control of the instrument. To a certain extent, this system can avoid physical buttons and touch screens causing interference to the driver. In this paper, we describe a driver-assisted dynamic gesture recognition system to classify nine hand gestures based on micro-Doppler signatures obtained by 77GHz FMCW radar using a convolutional neural network (CNN). We further explore the changes in the accuracy of same gestures in a variety of experimental scenarios to help optimize the robustness of the system.
关键词： convolutional neural network,hand gesture recognition,driver assistance system,FMCW radar sensor
更新于2025-09-23 15:22:29
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Hand Gesture Recognition in Automotive Human–Machine Interaction Using Depth Cameras
摘要： In this review, we describe current Machine Learning approaches to hand gesture recognition with depth data from time-of-flight sensors. In particular, we summarise the achievements on a line of research at the Computational Neuroscience laboratory at the Ruhr West University of Applied Sciences. Relating our results to the work of others in this field, we confirm that Convolutional Neural Networks and Long Short-Term Memory yield most reliable results. We investigated several sensor data fusion techniques in a deep learning framework and performed user studies to evaluate our system in practice. During our course of research, we gathered and published our data in a novel benchmark dataset (REHAP), containing over a million unique three-dimensional hand posture samples.
关键词： time-of-flight sensors,hand gesture recognition,automotive,human–machine interaction,neural networks
更新于2025-09-23 15:22:29
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[Lecture Notes in Computer Science] Smart Multimedia Volume 11010 (First International Conference, ICSM 2018, Toulon, France, August 24–26, 2018, Revised Selected Papers) || A Survey on Vision-Based Hand Gesture Recognition
摘要： Hand gesture recognition is regarded as an important part of artificial intelligence. A great effort was put into human-computer interaction so that hand gesture recognition is gradually becoming a developed technology. In light of the utilization of mouse and keyboard, the increasing needs of human-computer interaction cannot be met; hindrance turns out to be increasingly genuine. In this paper, we reviewed previous investigations of vision-based gesture recognition and summarized their findings. This paper compares the most common human-computer interaction products in recent years, which can be used to capture gesture data. Then we started with the classification of gestures and summarized the research of visual gesture recognition based on static and dynamic gestures. The gesture representations we summarized includes appearance-based and 3D model-based methods. We also introduced the applications of the two kinds of hand gestures recognition in the papers of recent years. A possible classification methods was put forward to improve the performance of gesture recognition. The goal of this paper is to summarize the current technology and research results and compare the differences and the advantage of different hand gesture recognition methods, which will contribute to the following research.
关键词： Interaction products,Gesture representation,Hand gesture recognition,Application,Classification
更新于2025-09-04 15:30:14