Robust Hand Shape Features for Dynamic Hand Gesture Recognition Using Multi-Level Feature LSTM

Robust Hand Shape Features for Dynamic Hand Gesture Recognition Using Multi-Level Feature LSTM

This study builds robust hand shape features from the two modalities of depth and skeletal data for the dynamic hand gesture recognition problem. For the hand skeleton shape approach, we use the movement, the rotations of the hand joints with respect to their neighbors, and the skeletal point-cloud...

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Bibliographic Details
Main Authors: Nhu-Tai Do, Soo-Hyung Kim, Hyung-Jeong Yang, Guee-Sang Lee
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Applied Sciences
Subjects:
Dynamic Hand Gesture Recognition
human-computer interaction
hand shape features
Online Access:https://www.mdpi.com/2076-3417/10/18/6293

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