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Salud, Ciencia y Tecnología Metaverse Basic and Applied Research Data & Metadata Interdisciplinary Rehabilitation Salud, Ciencia y Tecnología - Serie de Conferencias Community and Interculturality in Dialogue Seminars in Medical Writing and Education Health Leadership and Quality of Life Gamification and Augmented Reality Southern perspective / Perspectiva austral
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Published: 2023-12-30
DOI: https://doi.org/10.56294/dm2023162

Optimizing Emotion Recognition of Non-Intrusive E-Walking Dataset

By
Prachi Jain ,
Prachi Jain

Mody University of Science & Technology

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Vinod Maan ,
Vinod Maan

Mody University of Science & Technology

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PubMed | Google Scholar

Abstract

Emotion recognition being a complex task because of its valuable usages in critical fields like Robotics, human-computer interaction and mental health has recently gathered huge attention. The selection and optimization of suitable feature sets that can accurately capture the underlying emotional states is one of the critical challenges in Emotion Recognition. Metaheuristic optimization techniques have shown promise in addressing this challenge by efficiently exploring the large and complex feature space. This research paper proposes a novel framework for emotion recognition that uses metaheuristic optimization. The key idea behind metaheuristic optimization is to explore the search space in an intelligent way, by generating candidate solutions and iteratively improving them until an optimal or near-optimal solution is found. The accuracy & robustness of emotion identification systems can be enhanced by optimizing the metaheuristic optimization. The major contribution of this research is to develop a Chiropteran Mahi Metaheuristic optimization which emphasizes the weights updating in the classifier for improving the accuracy of the proposed system.

Keywords:

Metaheuristic Optimization,
Emotion recognition (ER),
Chiropteran Mahi Metaheuristic,
E-Walking,

How to Cite

1.
Jain P, Maan V. Optimizing Emotion Recognition of Non-Intrusive E-Walking Dataset. Data and Metadata [Internet]. 2023 Dec. 30 [cited 2024 Jul. 4];2:162. Available from: https://dm.saludcyt.ar/index.php/dm/article/view/162

Copyright Notice

The article is distributed under the Creative Commons Attribution 4.0 License. Unless otherwise stated, associated published material is distributed under the same licence.

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Vol. 2 (2023)
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