# TinyML-based Real-Time System for Detecting Falls in Elderly People

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/tinyml-based-real-time-system-for-detecting-falls-in-elderly-people/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Ch. Rajendra Prasad,G V Naga Satwik,E Phaneeshwari,Ramu Moola,Kotti Durga Sai Pranith,Devendar Rao |
| Citations | 4 |
| DOI | 10.1109/apcit62007.2024.10673501 |
| Fields | Computer Science,Health Professions |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4402593155 |
| Type | conference-paper |
| Year | 2024 |

## Paper authors

- [Ramu Moola](https://scholariq.org/researchers/ramu-moola/)

## Paper primary topic

- [Context-Aware Activity Recognition Systems](https://scholariq.org/topics/context-aware-activity-recognition-systems/)

## Paper topics

- [Context-Aware Activity Recognition Systems](https://scholariq.org/topics/context-aware-activity-recognition-systems/)
- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)
- [Artificial Intelligence in Healthcare](https://scholariq.org/topics/artificial-intelligence-in-healthcare/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.