# Posture Recognition in the Critical Care Settings using Wearable Devices

arXiv: https://arxiv.org/abs/2110.02768 · HTML: https://mlsanity.com/paper/2110.02768/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 2 of its 31 references that are in the map.
- First posted on arXiv 4 Oct 2021.

## Builds on (most cited first, 2 of 2)

- [Online Human Activity Recognition using Low-Power Wearable Devices](https://mlsanity.com/paper/1808.08615/) (2018)
- [An Intelligent Non-Invasive Real Time Human Activity Recognition System for Next-Generation Healthcare](https://mlsanity.com/paper/2008.02567/) (2020)

## Abstract (arXiv)

Low physical activity levels in the intensive care units (ICU) patients have been linked to adverse clinical outcomes. Therefore, there is a need for continuous and objective measurement of physical activity in the ICU to quantify the association between physical activity and patient outcomes. This measurement would also help clinicians evaluate the efficacy of proposed rehabilitation and physical therapy regimens in improving physical activity. In this study, we examined the feasibility of posture recognition in an ICU population using data from wearable sensors.