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CapSeat: capacitive proximity sensing for automotive activity recognition

Authors:

Sebastian Frank,

Martin Majewski,

Xiaofeng WangAuthors Info & Claims

AutomotiveUI '15: Proceedings of the 7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

Pages 225 - 232

https://doi.org/10.1145/2799250.2799263

Published: 01 September 2015 Publication History

Abstract

Inattentiveness is one of the major causes of traffic accidents. Advanced car safety systems try to mitigate this by detecting potential signs of distraction or tiredness, and providing alerts to the driver. In this paper we present CapSeat - a car seat equipped with integrated capacitive proximity sensors that are used to measure a wide range of physiological parameters about the driver. This can support safety systems by detecting inattentiveness and increase passive safety by facilitating suitable seat adjustments and posture detection. We present a sensor electrode layout suitable for detecting the necessary parameters and processing methods that acquire multiple physiological parameters from sensor data, using a variety of different algorithms. A prototype of the system is presented that was evaluated for all detectable parameters in a proof-of-concept study. We achieved a classification precision between 95% and 100%.

References

[1]

Andreas Braun and Henning Heggen. 2012. Context recognition using capacitive sensor arrays in beds. In Proceedings AAL-Kongress.

[2]

Andreas Braun, Stephan Neumann, Sönke Schmidt, Reiner Wichert, and Arjan Kuijper. 2014. Towards interactive car interiors - the Active Armrest. In Proceedings NordiCHI. 911--914.

Digital Library

[3]

Andreas Braun, Reiner Wichert, Arjan Kuijper, and Dieter W Fellner. 2015. Capacitive proximity sensing in smart environments. Journal of Ambient Intelligence and Smart Environments 7, 4 (2015), 1--28.

Digital Library

[4]

Jingyuan Cheng, Oliver Amft, and Paul Lukowicz. 2010. Active capacitive sensing: Exploring a new wearable sensing modality for activity recognition. In IEEE Pervasive Computing. Springer, 319--336.

Digital Library

[5]

Christoph Endres, Tim Schwartz, and Christian A. Müller. 2011. Geremin": 2D microgestures for drivers based on electric field sensing. In Proceedings of the 15th international conference on Intelligent user interfaces - IUI '11. 327.

Digital Library

[6]

B. George, H. Zangl, T. Bretterklieber, and G. Brasseur. 2008. A Novel Seat Occupancy Detection System based on Capacitive Sensing. In Instrumentation and Measurement Technology Conference Proceedings, 2008. IMTC 2008. IEEE. 1515--1519.

[7]

Tobias Grosse-Puppendahl, Yannick Berghoefer, Andreas Braun, Raphael Wimmer, and Arjan Kuijper. 2013. OpenCapSense: A rapid prototyping toolkit for pervasive interaction using capacitive sensing. In Proceedings PerCom 2013. 152--159.

[8]

Ronald Huston. 2008. Principles of biomechanics. CRC press, Boca Raton, Florida.

[9]

Insurance Institute for Highway Safety. 2013. Fatality Facts 2013. (2013). http://www.iihs.org/iihs/topics/t/general-statistics/fatalityfacts/state-by-state-overview

[10]

K. Jinno, S. Sekido, and P. H. Rittmueller. 1999. Vehicle passenger sensing system and method. (Sept. 7 1999). US Patent 5,948,031.

[11]

SeungJun Kim, Jaemie Chun, and Anind K Dey. 2015. Sensors Know When to Interrupt You in the Car: Detecting Driver Interruptibility Through Monitoring of Peripheral Interactions. In CHI 2015.

Digital Library

[12]

Jarek Krajewski, David Sommer, Udo Trutschel, Dave Edwards, and Martin Golz. 2009. Steering wheel behavior based estimation of fatigue. In Proceedings of the Fifth International Driving Symposium on Human Factors in Driver Assessment, Training and Vehicle Design. 118--124.

[13]

Gyouhyung Kyung and Maury A Nussbaum. 2008. Driver sitting comfort and discomfort (part II): Relationships with and prediction from interface pressure. International Journal of Industrial Ergonomics 38, 5 (2008), 526--538.

[14]

Li Li, Klaudius Werber, Carlos F Calvillo, Khac Dong Dinh, Ander Guarde, and Andreas König. 2014. Multi-sensor soft-computing system for driver drowsiness detection. In Soft Computing in Industrial Applications. Springer, 129--140.

[15]

Stephan Lorenz. 2011. Assistenzsystem zur Optimierung des Sitzkomforts im Fahrzeug. Ph.D. dissertation. Technische Universität München.

[16]

Plessey Semiconductors. 2012. Application Note # 291566 Non-contact ECG measurement using EPIC. Technical Report.

[17]

J Mark Porter and Diane E Gyi. 1998. Exploring the optimum posture for driver comfort. International Journal of Vehicle Design 19, 3 (1998), 255--266.

[18]

Andreas Riener. 2009. Sensor-Actuator Supported Implicit Interaction in Driver Assistance Systems. Ph.D. dissertation. Johannes Kepler University.

[19]

Andreas Riener, Alois Ferscha, and Mohamed Aly. 2009. Heart on the Road: HRV Analysis for Monitoring a Driver's Affective State. In Proceedings of the 1st International Conference on Automotive User Interfaces and Interactive Vehicular Applications. 99--106.

Digital Library

[20]

Silvia Rus, Tobias Grosse-Puppendahl, and Arjan Kuijper. 2014. Recognition of Bed Postures Using Mutual Capacitance Sensing. In Ambient Intelligence. Springer, 51--66.

[21]

Arun Sahayadhas, Kenneth Sundaraj, and Murugappan Murugappan. 2012. Detecting driver drowsiness based on sensors: a review. Sensors 12, 12 (2012), 16937--16953.

[22]

Adella Santos, Nancy McGuckin, Hikari Yukiko Nakamoto, Danielle Gray, and Susan Liss. 2011. Summary of travel trends: 2009 national household travel survey. Technical Report.

[23]

Joshua R. Smith. 1999. Electric field imaging. Ph.D. dissertation. Massachusetts Institute of Technology.

Digital Library

[24]

Raphael Wimmer, Matthias Kranz, Sebastian Boring, and Albrecht Schmidt. 2007. A capacitive sensing toolkit for pervasive activity detection and recognition. In Proceedings PerCom 2007. 171--180.

Digital Library

[25]

Thomas G. Zimmerman, Joshua R. Smith, Joseph A. Paradiso, David Allport, and Neil Gershenfeld. 1995. Applying electric field sensing to human-computer interfaces. In Proceedings CHI 95. 280--287.

Digital Library

Cited By

Tang MTeckchandani PHe JGuo HSoltanaghai EShu YLiu JTan RHe YChen J(2024)BSENSE: In-vehicle Child Detection and Vital Sign Monitoring with a Single mmWave Radar and Synthetic ReflectorsProceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems10.1145/3666025.3699352(478-492)Online publication date: 4-Nov-2024
https://dl.acm.org/doi/10.1145/3666025.3699352
Bian SLiu MZhou BLukowicz PMagno M(2024)Body-Area Capacitive or Electric Field Sensing for Human Activity Recognition and Human-Computer InteractionProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36435558:1(1-49)Online publication date: 6-Mar-2024
https://dl.acm.org/doi/10.1145/3643555
Andrei ABilius LVatavu R(2024)Take a Seat, Make a Gesture: Charting User Preferences for On-Chair and From-Chair Gesture InputProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642028(1-17)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642028
Show More Cited By

Index Terms

CapSeat: capacitive proximity sensing for automotive activity recognition
1. Human-centered computing

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Information & Contributors

Information

Published In

cover image ACM Other conferences

AutomotiveUI '15: Proceedings of the 7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

September 2015

338 pages

ISBN:9781450337366

DOI:10.1145/2799250

General Chair:
Gary Burnett
University of Nottingham, UK
,
Program Chairs:
Joe Gabbard
Virginia Tech
,
Paul Green
University of Michigan Transportation Research Institute (UMTRI)
,
Sebastian Osswald
Technische Universitat Munchen (TUM), Germany
,
Publications Chairs:
Ayse Eren,
Vicki Antrobus

Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 September 2015

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AutomotiveUI '15

AutomotiveUI '15: The 7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

September 1 - 3, 2015

Nottingham, United Kingdom

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AutomotiveUI '15 Paper Acceptance Rate 38 of 80 submissions, 48%;

Overall Acceptance Rate 248 of 566 submissions, 44%

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Cited By

Tang MTeckchandani PHe JGuo HSoltanaghai EShu YLiu JTan RHe YChen J(2024)BSENSE: In-vehicle Child Detection and Vital Sign Monitoring with a Single mmWave Radar and Synthetic ReflectorsProceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems10.1145/3666025.3699352(478-492)Online publication date: 4-Nov-2024
https://dl.acm.org/doi/10.1145/3666025.3699352
Bian SLiu MZhou BLukowicz PMagno M(2024)Body-Area Capacitive or Electric Field Sensing for Human Activity Recognition and Human-Computer InteractionProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36435558:1(1-49)Online publication date: 6-Mar-2024
https://dl.acm.org/doi/10.1145/3643555
Andrei ABilius LVatavu R(2024)Take a Seat, Make a Gesture: Charting User Preferences for On-Chair and From-Chair Gesture InputProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642028(1-17)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642028
Wang JMu CDi LLi MSun ZLiu S(2024)Recognition of Unsafe Driving Behaviours Using SC-GCN2024 International Joint Conference on Neural Networks (IJCNN)10.1109/IJCNN60899.2024.10651505(1-8)Online publication date: 30-Jun-2024
https://doi.org/10.1109/IJCNN60899.2024.10651505
Xue GChen GSun LLiu H(2024)Multimodal flexible electronic skin with adjustable module size for robot collision detectionIndustrial Robot: the international journal of robotics research and application10.1108/IR-04-2024-0174Online publication date: 29-Oct-2024
https://doi.org/10.1108/IR-04-2024-0174
Wei CLiu CChi S(2022)A Driver Distraction Detection Method Based on Convolutional Neural Network2022 7th International Conference on Computer and Communication Systems (ICCCS)10.1109/ICCCS55155.2022.9846062(272-277)Online publication date: 22-Apr-2022
https://doi.org/10.1109/ICCCS55155.2022.9846062
Boumegnane ANadi ACochrane CBoussu FCherkaoui OTahiri M(2022)Formulation of conductive inks printable on textiles for electronic applications: a reviewTextile Progress10.1080/00405167.2021.209413554:2(103-200)Online publication date: 30-Sep-2022
https://doi.org/10.1080/00405167.2021.2094135
Bello HZhou BSuh SLukowicz P(2021)MoCapaci: Posture and gesture detection in loose garments using textile cables as capacitive antennasProceedings of the 2021 ACM International Symposium on Wearable Computers10.1145/3460421.3480418(78-83)Online publication date: 21-Sep-2021
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Rus SNottebaum MKuijper AMakedon F(2021)Person Re-Identification in a Car Seat: Comparison of Cosine Similarity and Triplet Loss based approaches on Capacitive Proximity Sensing dataProceedings of the 14th PErvasive Technologies Related to Assistive Environments Conference10.1145/3453892.3458047(97-104)Online publication date: 29-Jun-2021
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Frank SKuijper A(2020)Privacy by Design: Survey on Capacitive Proximity Sensing as System of Choice for Driver Vehicle InterfacesProceedings of the 4th ACM Computer Science in Cars Symposium10.1145/3385958.3430474(1-9)Online publication date: 2-Dec-2020
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