# Hands-on detection for steering wheels with neural networks

arXiv: https://arxiv.org/abs/2306.09044 · HTML: https://mlsanity.com/paper/2306.09044/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 0 of its 8 references that are in the map.
- First posted on arXiv 15 Jun 2023.

## Abstract (arXiv)

In this paper the concept of a machine learning based hands-on detection algorithm is proposed. The hand detection is implemented on the hardware side using a capacitive method. A sensor mat in the steering wheel detects a change in capacity as soon as the driver's hands come closer. The evaluation and final decision about hands-on or hands-off situations is done using machine learning. In order to find a suitable machine learning model, different models are implemented and evaluated. Based on accuracy, memory consumption and computational effort the most promising one is selected and ported on a micro controller. The entire system is then evaluated in terms of reliability and response time.