Human Fall Detection System Using Internet Of Things And Machine Learning
Abstract & Details
Research Area
Computer Engineering
Keywords
CNN
IOT
Machine Learning
Abstract
Falls are the major obstacle for the people. Elders are mostly impacted due to the fall. Patients most have difficulties to control the balance of the body & fall. So falls should be tracked and watch should be kept to avoid major injuries. In this review paper, a fall detection system is proposed based on IOT and machine learning. The system does the image processing in the preprocessing part and then gathers input to be applied on CNN algorithm and if falls are detected caretakers will be notified. Machine learning algorithm CNN will be used in our system.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Mayur Mhetre | Modern Education Society's College of Engineering, Pune |
| 2 | Atharva Khardekar | Modern Education Society's College of Engineering, Pune |
| 3 | Dhanashree Khutwad | Modern Education Society's College of Engineering, Pune |
| 4 | Sagar Shinde | Modern Education Society's College of Engineering, Pune |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Mhetre, Mayur, Khardekar, Atharva, Khutwad, Dhanashree, & Shinde, Sagar (2022). Human Fall Detection System Using Internet Of Things And Machine Learning. International Journal of Advance Research and Innovative Ideas In Education, 8(3), 711-715.
MLA Style
Mhetre, Mayur, et al. "Human Fall Detection System Using Internet Of Things And Machine Learning." International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, 2022, pp. 711-715.
IEEE Style
Mayur Mhetre, Atharva Khardekar, Dhanashree Khutwad, and Sagar Shinde, "Human Fall Detection System Using Internet Of Things And Machine Learning," International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, pp. 711-715, 2022.
Vancouver Style
Mhetre Mayur, Khardekar Atharva, Khutwad Dhanashree, Shinde Sagar. Human Fall Detection System Using Internet Of Things And Machine Learning. International Journal of Advance Research and Innovative Ideas In Education. 2022;8(3):711-715.
Harvard Style
Mhetre, Mayur, Khardekar, Atharva, Khutwad, Dhanashree, & Shinde, Sagar (2022) 'Human Fall Detection System Using Internet Of Things And Machine Learning', International Journal of Advance Research and Innovative Ideas In Education, 8(3), pp. 711-715.
Chicago Style
Mhetre, Mayur, et al. "Human Fall Detection System Using Internet Of Things And Machine Learning." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 711-715.
Turabian Style
Mhetre, Mayur, et al. "Human Fall Detection System Using Internet Of Things And Machine Learning." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 711-715.
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