Gesture Recognition Method Based on Ultrasound Propagation in Body

2016 ◽  
Author(s):  
Hiroki Watanabe ◽  
Tsutomu Terada ◽  
Masahiko Tsukamoto
Keyword(s):  
Gesture Recognition ◽  
Recognition Method ◽  
Ultrasound Propagation

Feature Fusion Based Hand Gesture Recognition Method for Automotive Interfaces

2020 ◽  
Vol 29 (6) ◽  
pp. 1153-1164
Author(s):  
Qianyi Xu ◽  
Guihe Qin ◽  
Minghui Sun ◽  
Jie Yan ◽  
Huiming Jiang ◽  
...  
Keyword(s):  
Gesture Recognition ◽  
Feature Fusion ◽  
Hand Gesture Recognition ◽  
Hand Gesture ◽  
Recognition Method

In-home neurogaming: Demonstrating the impact of valid gesture recognition method on high volume kinematic outcomes

2020 ◽  
Vol 104 ◽  
pp. 109726
Author(s):  
Lise C. Worthen-Chaudhari ◽  
Michael P. McNally ◽  
Akshay Deshpande ◽  
Vivek Bakaraju
Keyword(s):  
Gesture Recognition ◽  
High Volume ◽  
Recognition Method ◽  
The Impact

A Track-Based Gesture Recognition Algorithm for Kinect

2015 ◽  
Vol 738-739 ◽  
pp. 334-338 ◽  
Author(s):  
Ying Wang ◽  
Ling Zhang
Keyword(s):  
Gesture Recognition ◽  
Golden Section ◽  
Recognition Algorithm ◽  
Depth Image ◽  
Kinect Sensor ◽  
Recognition Method ◽  
Image Information ◽  
Golden Section Search ◽  
Highly Effective

This paper presents a new gesture track recognition method based on the depth image information received from the Kinect sensor. First, a Kinect sensor is used to obtain the coordinates of a moving arm. Then, the gesture tracks corresponding to these coordinates are analyzed. Matching and recognition of gesture tracks are implemented by performing golden section search. The results show that this track-based method is highly effective in gesture recognition.

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