Enhancing HAR Model Accuracy through Multimodal Sensor Data Integration

Registration ID: IJNRD_197061

Published ID: IJNRD2305699

DOI: Click Here to Get

Abhijeet Sonawane , Pratik Chopane , Harshada Shelke , Nikhil Chinchore , Prof. Jaishri Shilpakar

Human Activity Recognition (HAR), Long-Short Term Memory (LSTM), Wearable sensors, Sensors Data, Accuracy, DOM (Data Object Model)

The rapid development of technology in recent years has led to the production of a large amount of information. This growth in data has led to significant growth in areas such as robotics and the Internet of Things (IoT). This research paper aims to compare and evaluate the use and accuracy of the Human Activity Recognition (HAR) model by focusing on Long Term Memory (LSTM) model. To ensure research reliability and consistency, both models were trained on the same data, including data collected from wearable devices. In addition to reliable research, information is also available from public websites. Accuracy and falsity are measured by comparing samples against a matrix of accuracy and confusion. In addition, the article explores various methods and methods of using sensor data in the general knowledge of people, where these models can be used separately or together. Experimental results show that LSTM models are suitable for different situations and show better convergence than neural networks. In addition to comparative analysis, this article highlights the importance of analyzing human activities and their potential applications in areas such as virtual reality, health, entertainment and security. Use data for human cognitive functions, including monitoring physical activity, monitoring sleep patterns, and analyzing movement for rehabilitation.

Published Paper   E-Certificate

Abhijeet Sonawane, Pratik Chopane, Harshada Shelke, Nikhil Chinchore, & Prof. Jaishri Shilpakar (May-2023). Enhancing HAR Model Accuracy through Multimodal Sensor Data Integration. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), g815-g819. https://ijnrd.org/papers/IJNRD2305699.pdf

Volume 8 Issue 5, May-2023

Pages : g815-g819

Paper Reg. ID: IJNRD_197061

Published Paper Id: IJNRD2305699

Downloads: 000121986

Research Area: Engineering

Country: Pune, Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305699.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305699

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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