A novel Fuzzy Logic-based Method for Modeling and Recognizing Yoga Pose

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Ghobadi Fard Marjan; MONTAZER GHOLAM ALI; Giveki Davar

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Seminar Paper

Paper Information

Seminar: INTERNATIONAL CONFERENCE ON WEB RESEARCH
Year:2023 | Issue:9

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Title

A novel Fuzzy Logic-based Method for Modeling and Recognizing Yoga Pose

Author(s)

Ghobadi Fard Marjan | MONTAZER GHOLAM ALI | Giveki Davar

Keywords

Human Pose Recognition

Fuzzy Logic Modeling

Multi-Layer Perceptron

Yoga Pose Recognition

Abstract

The estimation of the human pose is an interesting computer vision problem. The principles of fuzzy logic can be used to distinguish the human poses due to the existing uncertainty. In this paper, we suggest fuzzy logic-based modeling for identifying human actions. Fuzzy membership functions that highlight the discriminative pose connected to each action are considered for feature extraction. Additionally, to identify human activity, a multilayer perceptron classifier is applied. For a more accurate classification of yoga poses, various methods of estimating poses and identifying key points were discussed in detail. Evaluations of the proposed method on the benchmark datasets indicate the performance of the proposed method.

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APA: Copy

Ghobadi Fard, Marjan, MONTAZER, GHOLAM ALI, & Giveki, Davar. (). . . SID. https://sid.ir/paper/1046853/en

Vancouver: Copy

Ghobadi Fard Marjan, MONTAZER GHOLAM ALI, Giveki Davar. . . Available from: https://sid.ir/paper/1046853/en

IEEE: Copy

Marjan Ghobadi Fard, GHOLAM ALI MONTAZER, and Davar Giveki, “,” presented at the . , [Online]. Available: https://sid.ir/paper/1046853/en

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