International Scientific Journal of Engineering and Management

An International Scholarly || Multidisciplinary || Open Access || Indexing in all major Database & Metadata
The journal follows the UGC Guidelines and is evaluated for inclusion in the Web of Science
ISSN: 2583-6129

Impact Factor: 8.072

FALL DETECTION AND ALERTS IN HEARING AIDS FOR DEAF AND HEARING IMPAIRMENT

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Manuscript Title

FALL DETECTION AND ALERTS IN HEARING AIDS FOR DEAF AND HEARING IMPAIRMENT

SANGEETHALAKSHMI K 1, TARUNSAI C B 2, SIDHESH S3, SRINATH B 4

1Assistant Professor, Department of Electronics and Communication Engineering,

RMK College of Engineering and Technology.

2,3,4 Students, Department of Electronics and Communication Engineering,

RMK College of Engineering and Technology.

 

 

 

 

 

Abstract – According to research, a considerable percentage of individuals over the age of 65 living at home fall at least once a year, which can have serious consequences for their independence and overall quality of life. To mitigate this risk, a fall detection and alerting system can be highly beneficial for elderly individuals with hearing difficulties. In this paper, we propose the development of such a system using a tilt sensor, ESP8266 microcontroller, MIT App Inventor, and Firebase database. The system is designed to be integrated into a hearing aid device to detect falls and promptly alert caregivers or emergency services. The tilt sensor is utilized to detect changes in the hearing aid's orientation, indicating a fall has occurred. The ESP8266 microcontroller is responsible for connecting the device to the internet, enabling real-time alerts to be sent via the MIT App Inventor app. The app is user-friendly and can be easily installed on a caregiver's smartphone. The Firebase database stores user data, including fall detection logs and emergency contact information. Our tests show that the system can accurately detect falls and send timely alerts via SMS and calls to designated emergency contacts, providing an additional layer of safety and security for hearing aid users.

 

KEYWORDS-  IoT, Fall detection, alert SMS, Hearing aid.

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