# Vision-Based Gait Analysis for Senior Care

arXiv: https://arxiv.org/abs/1812.00169 · HTML: https://mlsanity.com/paper/1812.00169/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 1 Dec 2018.

## Built on by (most cited first, 3 of 3)

- [Towards a Comprehensive Solution for a Vision-based Digitized Neurological Examination](https://mlsanity.com/paper/2205.07209/) (2022)
- [A Deep Transfer Learning-based Edge Computing Method for Home Health Monitoring](https://mlsanity.com/paper/2105.02960/) (2021)
- [A Feasibility Study on Indoor Localization and Multi-person Tracking Using Sparsely Distributed Camera Network with Edge Computing](https://mlsanity.com/paper/2305.05062/) (2023)

## Abstract (arXiv)

As the senior population rapidly increases, it is challenging yet crucial to provide effective long-term care for seniors who live at home or in senior care facilities. Smart senior homes, which have gained widespread interest in the healthcare community, have been proposed to improve the well-being of seniors living independently. In particular, non-intrusive, cost-effective sensors placed in these senior homes enable gait characterization, which can provide clinically relevant information including mobility level and early neurodegenerative disease risk. In this paper, we present a method to perform gait analysis from a single camera placed within the home. We show that we can accurately calculate various gait parameters, demonstrating the potential for our system to monitor the long-term gait of seniors and thus aid clinicians in understanding a patient's medical profile.