Sensor Based Human Activity Recognition

Registration ID: IJNRD_184907

Published ID: IJNRD2212149

DOI: Click Here to Get

Vishaka Rani , Dr Asha , Dr Prabha R

Mems sensor , MicroPython, Raspberry pi Pico and HAR

This paper is a reflection of the research that has been done to enhance and simplify the daily lives of elderly or disabled people. The goal is to use a variety of technological tools, including voice systems, deep neural networks, accelerometers, and the Internet of Things (IoT). It has created a method that makes life easier by allowing computers to recognize human wants. Here, the latest developments in neural networks and the Internet of Things were integrated to provide a more complex form that can adapt to the user and comprehend their behavior. Sensitive information is gathered by continuously monitoring the patient's condition. It was straightforward to tell the system to discern between the required output commands and carry them out thanks to Mems sensors. The appropriate output is shown on the LCD display panel.

Published Paper   E-Certificate

Vishaka Rani, Dr Asha, & Dr Prabha R (December-2022). Sensor Based Human Activity Recognition. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 7(12), b465-b469. https://ijnrd.org/papers/IJNRD2212149.pdf

Volume 7 Issue 12, December-2022

Pages : b465-b469

Paper Reg. ID: IJNRD_184907

Published Paper Id: IJNRD2212149

Downloads: 000121986

Research Area: Engineering

Country: Bangalore, karnataka, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2212149.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2212149

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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