World Journal of Engineering Research and Technology (WJERT) has indexed with various reputed international bodies like : Google Scholar , Index Copernicus , Indian Science Publications , SOCOLAR, China , International Institute of Organized Research (I2OR) , Cosmos Impact Factor , Research Bible, Fuchu, Tokyo. JAPAN , Scientific Indexing Services (SIS) , Jour Informatics (Under Process) , UDLedge Science Citation Index , International Impact Factor Services , International Scientific Indexing, UAE , International Society for Research Activity (ISRA) Journal Impact Factor (JIF) , International Innovative Journal Impact Factor (IIJIF) , Science Library Index, Dubai, United Arab Emirates , Scientific Journal Impact Factor (SJIF) , Science Library Index, Dubai, United Arab Emirates , Eurasian Scientific Journal Index (ESJI) , Global Impact Factor (0.342) , IFSIJ Measure of Journal Quality , Web of Science Group (Under Process) , Directory of Research Journals Indexing , Scholar Article Journal Index (SAJI) , International Scientific Indexing ( ISI ) , Scope Database , Academia , 

World Journal of Engineering Research and Technology

( An ISO 9001:2015 Certified International Journal )

An International Peer Reviewed Journal for Engineering Research and Technology

An Official Publication of Society for Advance Healthcare Research (Reg. No. : 01/01/01/31674/16)

ISSN 2454-695X

Impact Factor : 7.029

ICV : 79.45

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  • Article Invited for Publication

    Article are invited for publication in WJERT Coming Issue

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    WJERT Rank with Index Copernicus Value 79.45 due to high reputation at International Level

  • WJERT: NOVEMBER ISSUE PUBLISHED

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Indexing

Abstract

SENSOR BASED EMOTIONAL RECOGNITION IN FACE USING CNN

Haritha K. Sivaraman*, M. Suresh and Deepa K. R.

ABSTRACT

This research paper introduces a smart system designed to detect and monitor early signs of depression using advanced sensors connected to an Internet of Things (IoT) device. Depression is a widespread mental health issue that can impact daily life and physical well-being, leading to symptoms like confusion, fatigue, and pain. The system employs sensors such as the Nano Bio Sensor and pulse sensor to track changes in heart rate and other body signals, which may indicate mood swings or depressive states. When these signs are identified, the system sends alerts to caregivers or healthcare providers, enabling timely support and monitoring treatment effectiveness. This innovative approach aims to enhance outcomes for individuals dealing with depression by offering proactive and personalized monitoring solutions.

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