Gesture Recognition on Kinect Time Series Data Using Dynamic Time Warping and Hidden Markov Models-Reference-Cited by-同舟云学术

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Gesture Recognition on Kinect Time Series Data Using Dynamic Time Warping and Hidden Markov Models

Published:2016-09 Issue: Volume: Page:
ISSN:
Container-title:2016 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)
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Author:

Calin Alina Delia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7827704/7829572/07829621.pdf?arnumber=7829621

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. MATSA: An MRAM-Based Energy-Efficient Accelerator for Time Series Analysis;IEEE Access;2024

2. Robust Identification System for Spanish Sign Language Based on Three-Dimensional Frame Information;Sensors;2023-01-02

3. Using Multi-Dimensional Dynamic Time Warping to Identify Time-Varying Lead-Lag Relationships;Sensors;2022-09-12

4. Recognition of occupational therapy exercises and detection of compensation mistakes for Cerebral Palsy;Journal of Visual Communication and Image Representation;2020-11

5. Rehabilitation Exergames: Use of Motion Sensing and Machine Learning to Quantify Exercise Performance in Healthy Volunteers;JMIR Rehabilitation and Assistive Technologies;2020-08-18

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