An experimental overview on electric field sensing

  • Julian von WilmsdorffEmail author
  • Florian Kirchbuchner
  • Biying Fu
  • Andreas Braun
  • Arjan Kuijper
Original Research


Electric fields exist everywhere. They are influenced by living beings, conductive materials, and other charged entities. Electric field sensing is a passive capacitive measurement technique that detects changes in electric fields and has a very low power consumption. We explore potential applications of this technology and compare it to other measurement approaches, such as active capacitive sensing. Five prototypes have been created that give an overview of the potential use cases and how they compare to other technologies. Our results reveal that electric field sensing can be used for indoor applications as well as outdoor applications. Even a mobile usage is possible due to the low energy consumption of this technology.


Electric field sensing Capacitive sensing Motion detection Sensors Gesture recognition 



  1. Braun A, Dutz T, Kamieth F (2013) Capacitive sensor-based hand gesture recognition in ambient intelligence scenarios. In: Proceedings of the 6th international conference on pervasive technologies related to assistive environments, ACM, New York, PETRA ’13, pp 5:1–5:4.
  2. Clippingdale AJ (1993) The sensing of spatial electrical potential. PhD thesis, University of SussexGoogle Scholar
  3. Cohn G, Morris D, Patel SN, Tan DS (2011) Your noise is my command: sensing gestures using the body as an antenna. In: Proceedings of the SIGCHI conference on human factors in computing systems, ACM, New York, pp 791–800.
  4. Cohn G, Gupta S, Lee TJ, Morris D, Smith JR, Reynolds MS, Tan DS, Patel SN (2012) An ultra-low-power human body motion sensor using static electric field sensing. In: Proceedings of the 2012 ACM conference on ubiquitous computing, ACM, New York, UbiComp ’12, pp 99–102.
  5. Gebrial W, Prance R, Harland C, Clark T (2006) Noninvasive imaging using an array of electric potential sensors. Rev Sci Instrum 77(6):063708. CrossRefGoogle Scholar
  6. Grosse-Puppendahl T, Berghoefer Y, Braun A, Wimmer R, Kuijper A (2013) Opencapsense: a rapid prototyping toolkit for pervasive interaction using capacitive sensing. In: Pervasive computing and communications (PerCom), 2013 IEEE international conference, IEEE, pp 152–159.
  7. Grosse-Puppendahl T, Dellangnol X, Hatzfeld C, Fu B, Kupnik M, Kuijper A, Hastall M, Scott J, Gruteser M (2016) Platypus—indoor localization and identification through sensing electric potential changes in human bodies. In: 14th ACM international conference on mobile systems, applications and services (MobiSys), ACM, New York.
  8. Harland C, Clark T, Prance R (2001) Electric potential probes-new directions in the remote sensing of the human body. Meas Sci Technol 13(2):163CrossRefGoogle Scholar
  9. Iqbal J, Lazarescu MT, Tariq OB, Lavagno L (2017) Long range, high sensitivity, low noise capacitive sensor for tagless indoor human localization. In: Advances in sensors and interfaces (IWASI), 2017 7th IEEE international workshop, IEEE, New York, pp 189–194Google Scholar
  10. Kaila L, Raula H, Valtonen M, Palovuori K (2012) Living wood: a self-hiding calm user interface. In: Proceeding of the 16th international academic MindTrek conference, ACM, New York, MindTrek ’12, pp 267–274.
  11. Matthies DJ, Strecker BA, Urban B (2017a) Earfieldsensing: a novel in-ear electric field sensing to enrich wearable gesture input through facial expressions. In: Proceedings of the 2017 CHI conference on human factors in computing systems, ACM, New York, pp 1911–1922Google Scholar
  12. Matthies DJC, Roumen T, Kuijper A, Urban B (2017b) Capsoles: who is walking on what kind of floor? In: Proceedings of the 19th international conference on human–computer interaction with mobile devices and services, ACM, New York, MobileHCI ’17, pp 9:1–9:14.
  13. Mujibiya A, Rekimoto J (2013) Mirage: exploring interaction modalities using off-body static electric field sensing. In: Proceedings of the 26th annual ACM symposium on user interface software and technology, ACM, New York, UIST ’13, pp 211–220.
  14. Poupyrev I, Schoessler P, Loh J, Sato M (2012) Botanicus interacticus: interactive plants technology. In: ACM SIGGRAPH 2012 emerging technologies, ACM, New York, p 4.
  15. Pouryazdan A, Prance R, Prance H, Roggen D (2016) Wearable electric potential sensing: a new modality sensing hair touch and restless leg movement. In: Proceedings of the 2016 ACM international joint conference on pervasive and ubiquitous computing: adjunct, ACM, New York, pp 846–850.
  16. Prance R, Beardsmore-Rust S, Watson P, Harland C, Prance H (2008) Remote detection of human electrophysiological signals using electric potential sensors. Appl Phys Lett 93(3):033906. CrossRefGoogle Scholar
  17. Rus S, Braun A, Kuijper A (2017) E-textile couch: towards smart garments integrated furniture. In: Braun A, Wichert R, Maña A (eds) Ambient Intell. Springer, Cham, pp 214–224CrossRefGoogle Scholar
  18. Sato M, Poupyrev I, Harrison C (2012) Touché: enhancing touch interaction on humans, screens, liquids, and everyday objects. In: Proceedings of the SIGCHI conference on human factors in computing systems, ACM, New York, pp 483–492.

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Julian von Wilmsdorff
    • 1
    Email author
  • Florian Kirchbuchner
    • 1
  • Biying Fu
    • 1
  • Andreas Braun
    • 1
  • Arjan Kuijper
    • 1
  1. 1.Fraunhofer-Institut fur Graphische DatenverarbeitungDarmstadtGermany

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