Paper Title

Low latency and low powered fall detector for epilepsy

Article Identifiers

Registration ID: IJNRD_220002

Published ID: IJNRD2405299

DOI: Click Here to Get

Authors

Dhanalakshmi Stridarane , Durga Devi.S , Gangaswetha.K

Keywords

Fall detector, Epilepsy, IoT (Internet of Things), Edge computing. Smart healthcare,Biomedical applications, Real-time monitoring ,MEMS sensor,, Edge-based fall detection.

Abstract

Epilepsy, a pandemic disorder affecting 50 million people (about twice the population of Texas), drives the urgent search for a reliable and quick detection tool. Abstract: This paper introduces a comprehensive fall detection system that integrates state-of-the-art MEMS (Micro-Electro-Mechanical Systems) sensors, including accelerometers and gyroscopes, with cutting-edge edge computing, heart rate sensors, and temperature sensors. Falling incidents pose a significant risk, especially among the elderly and individuals with mobility impairments, necessitating effective and timely detection mechanisms to ensure prompt assistance and mitigate potential injuries. The proposed system addresses this imperative by harnessing the collective capabilities of MEMS sensors, which continuously monitor and analyze the user's movements in real-time. These sensors are adept at capturing even subtle changes in acceleration and rotational motion, enabling the system to discern between regular activities and fall events accurately. Incorporating sophisticated algorithms and leveraging the computational power of edge computing infrastructure, the system processes sensor data autonomously, swiftly identifying patterns indicative of a fall. By executing the fall detection algorithm directly on the device, edge computing circumvents the limitations of traditional cloud-based solutions, ensuring minimal latency and enabling rapid response even in environments with limited network connectivity. Moreover, the integration of heart rate sensors enhances the system's capabilities by providing valuable insights into the user's physiological parameters. Variations in heart rate patterns can signify distress or physical exertion, aiding in the accurate identification of fall incidents and facilitating appropriate interventions. Additionally, temperature sensors offer contextual information about the user's surroundings, enabling the system to assess environmental conditions and factor them into the fall risk assessment process. Through the fusion of data from multiple sensors and the dynamic adjustment of fusion parameters using machine learning algorithms, the system achieves robust performance across diverse scenarios. The proposed system undergoes rigorous validation through extensive experimentation and real-world testing, demonstrating its efficacy in significantly enhancing fall detection accuracy and response efficiency.

How To Cite

"Low latency and low powered fall detector for epilepsy ", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 5, page no.c939-c946, May-2024, Available :https://ijnrd.org/papers/IJNRD2405299.pdf

Issue

Volume 9 Issue 5, May-2024

Pages : c939-c946

Other Publication Details

Paper Reg. ID: IJNRD_220002

Published Paper Id: IJNRD2405299

Downloads: 000121116

Research Area: Engineering

Country: Puducherry, Puducherry, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2405299.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405299

About Publisher

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

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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.

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Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

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

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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