Evaluating Simple Exercises with a Fuzzy System Based on Human Skeleton Poses
Author:
Affiliation:
1. Graduate School of Systems Design, Tokyo Metropolitan University,Tokyo,Japan
Funder
Japan Science and Technology Agency (JST), Moonshot R&D
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10309665/10309668/10309722.pdf?arnumber=10309722
Reference19 articles.
1. A Key Frame Extraction Algorithm Based on Clustering and Compressive Sensing
2. FuzzyAct: A Fuzzy-Based Framework for Temporal Activity Recognition in IoT Applications Using RNN and 3D-DWT
3. Efficient Activity Recognition in Smart Homes Using Delayed Fuzzy Temporal Windows on Binary Sensors
4. Evaluating Power Rehabilitation Actions Using a Fuzzy Inference Method
5. Fuzzy dragon deep belief neural network for activity recognition using hierarchical skeleton features;sheeba;Evolutionary Intelligence,2019
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