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Title: :  Real Time Anomaly Detection From Wearable Sensor Data
PaperId: :  22830
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 2 2024
DUI:    16.0415/IJARIIE-22830
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
AKALYAA SBannari Amman Institute of Technology
KAVYASRI P PBannari Amman Institute of Technology
KANISHKA DBannari Amman Institute of Technology

Abstract

Computer Engineering
Real- time anomaly prediction system, Hidden Markov Model(HMM), Early detection of anomalies, Proactive health monitoring
This project aims to develop a real-time anomaly prediction system utilizing wearable sensor data through machine learning techniques. Building upon our previous work in Parkinson's disease prediction from gait analysis using Hidden Markov Models (HMM), the current project focuses on extending the applicability of wearable sensor technology for early detection of anomalies in various contexts. The proposed system leverages advanced machine learning algorithms to analyze and interpret data collected from wearable sensors, enabling the identification of abnormal patterns indicative of potential health issues or irregular activities. The research contributes to the emerging field of health monitoring and anomaly detection using wearable devices, with the potential to revolutionize preventive healthcare by providing timely alerts and interventions. The proposed system builds upon the limitations of the existing approaches by developing a real-time anomaly prediction framework using wearable sensor data. The integration of advanced signal processing techniques and anomaly detection algorithms enhances the system's ability to identify abnormal patterns, facilitating early detection of potential health issues or irregular activities. The proposed system aims to provide a comprehensive solution for proactive health monitoring and timely intervention, addressing the shortcomings of the current state-of-the-art methods.

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IJARIIE AKALYAA S, KAVYASRI P P, and KANISHKA D. "Real Time Anomaly Detection From Wearable Sensor Data" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 2 2024 Page 868-875
MLA AKALYAA S, KAVYASRI P P, and KANISHKA D. "Real Time Anomaly Detection From Wearable Sensor Data." International Journal Of Advance Research And Innovative Ideas In Education 10.2(2024) : 868-875.
APA AKALYAA S, KAVYASRI P P, & KANISHKA D. (2024). Real Time Anomaly Detection From Wearable Sensor Data. International Journal Of Advance Research And Innovative Ideas In Education, 10(2), 868-875.
Chicago AKALYAA S, KAVYASRI P P, and KANISHKA D. "Real Time Anomaly Detection From Wearable Sensor Data." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 2 (2024) : 868-875.
Oxford AKALYAA S, KAVYASRI P P, and KANISHKA D. 'Real Time Anomaly Detection From Wearable Sensor Data', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, 2024, p. 868-875. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Real_Time_Anomaly_Detection_From_Wearable_Sensor_Data_ijariie22830.pdf (Accessed : ).
Harvard AKALYAA S, KAVYASRI P P, and KANISHKA D. (2024) 'Real Time Anomaly Detection From Wearable Sensor Data', International Journal Of Advance Research And Innovative Ideas In Education, 10(2), pp. 868-875IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Real_Time_Anomaly_Detection_From_Wearable_Sensor_Data_ijariie22830.pdf (Accessed : )
IEEE AKALYAA S, KAVYASRI P P, and KANISHKA D, "Real Time Anomaly Detection From Wearable Sensor Data," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, pp. 868-875, Mar-App 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/Real_Time_Anomaly_Detection_From_Wearable_Sensor_Data_ijariie22830.pdf [Accessed : ].
Turabian AKALYAA S, KAVYASRI P P, and KANISHKA D. "Real Time Anomaly Detection From Wearable Sensor Data." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 2 ().
Vancouver AKALYAA S, KAVYASRI P P, and KANISHKA D. Real Time Anomaly Detection From Wearable Sensor Data. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : ]; 10(2) : 868-875. Available from: https://ijariie.com/AdminUploadPdf/Real_Time_Anomaly_Detection_From_Wearable_Sensor_Data_ijariie22830.pdf
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