π-Model Capacitive Sensor for Steering Wheel Hand Position Detection

The positioning and posture of hands on the steering wheel are crucial for ensuring road safety while driving. This paper introduces a novel π-model capacitive sensor designed for detecting hand positions on the steering wheel. The system comprises two sets of π-model capacitive sensors, each utilizing two large curved electrodes. Existing methods for monitoring hand positions often involve complex multi-sensor setups and camera-based systems, which can raise privacy concerns and complexity. However, the proposed capacitive sensing mechanism offers a non-intrusive, privacy-preserving solution with a simple design. Experimental results demonstrate the proposed sensor's high accuracy, with an error rate of less than 0.2% for position estimation, making it an effective alternative to the existing systems. The proposed sensor has direct application in automobiles such as in identifying driver fatigue, providing timely warnings, and assessing driver attentiveness.

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Publication Details

Journal
IEEE Sensors Letters
Published
2025-06-27
DOI
https://doi.org/10.1109/lsens.2025.3583753
Primary Topic
Sensor Technology and Measurement Systems
Type
article
Field-Weighted Citation Impact
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article

π-Model Capacitive Sensor for Steering Wheel Hand Position Detection

Pinku Sebastian, Priya Narayanan, Muhamed Jamshir M, Sreenath Vijayakumar
IEEE Sensors Letters
Sensor Technology and Measurement Systems
article

π-Model Capacitive Sensor for Steering Wheel Hand Position Detection

Pinku Sebastian, Priya Narayanan, Muhamed Jamshir M, Sreenath Vijayakumar
article en

Abstract

The positioning and posture of hands on the steering wheel are crucial for ensuring road safety while driving. This paper introduces a novel π-model capacitive sensor designed for detecting hand positions on the steering wheel. The system comprises two sets of π-model capacitive sensors, each utilizing two large curved electrodes. Existing methods for monitoring hand positions often involve complex multi-sensor setups and camera-based systems, which can raise privacy concerns and complexity. However, the proposed capacitive sensing mechanism offers a non-intrusive, privacy-preserving solution with a simple design. Experimental results demonstrate the proposed sensor's high accuracy, with an error rate of less than 0.2% for position estimation, making it an effective alternative to the existing systems. The proposed sensor has direct application in automobiles such as in identifying driver fatigue, providing timely warnings, and assessing driver attentiveness.

IEEE Sensors LettersVol. 9(8)
Indian Institute of Technology Palakkad (IN)
Affordable and clean energy
Openalex Percentile: Top 84%
Sensor Technology and Measurement Systems
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