Enhancing HAR Model Accuracy through Multimodal Sensor Data Integration

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

"Enhancing HAR Model Accuracy through Multimodal Sensor Data Integration", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 5, page no.g815-g819, May-2023, Available :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: 000121179

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

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

Indexing In Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar | AI-Powered Research Tool, Microsoft Academic, Academia.edu, arXiv.org, Research Gate, CiteSeerX, ResearcherID Thomson Reuters, Mendeley : reference manager, DocStoc, ISSUU, Scribd, and many more

How to submit the paper?

Important Dates for Current issue

Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.

Subject Category: Research Area