A Flexible, Low Power, Compact, Mobile Sensor for Emotion Monitoring in Human Computer Interaction

  • Lawrence K. LamEmail author
  • Austen J. Szypula
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10901)


Emotion-sensing is an important part in human computer interaction. Electrodermal activity measurement has been employed for a while to sense emotion. In this paper, the authors combine EDA, mobile technology, and flexible PCB substrate to implement a low power, compact emotion sensor which can be displayed on a smartphone. The flexible PCB circuit and sensing electrodes can be conformably wrapped around the user’s fingers to form a compact integrated unit. The 1st generation sensor has overall size 60 × 60 mm and consumes 90 mW under regular Bluetooth recording. In the newer version, we house the unit in a silicone mold to form a robust package for versatile sensing environment. With the new package, we were able to record 8-h sleeping patterns.


Wearable technology Flexible substrate applications Human computer interaction Emotion sensors 



The authors gratefully acknowledge the facility of UWB STEM EE lab equipment usage.


  1. 1.
    Haag, A., Goronzy, S., Schaich, P., Williams, J.: Emotion recognition using bio-sensors: first steps towards an automatic system. In: ADS 2004: Affective Dialogue Systems, pp. 36–48 (2004)Google Scholar
  2. 2.
    Strauss, M., Reynolds, C., Hughes, S., Park, K., McDarby, G., Picard, R.W.: The HandWave bluetooth skin conductance sensor. In: Tao, J., Tan, T., Picard, R.W. (eds.) ACII 2005. LNCS, vol. 3784, pp. 699–706. Springer, Heidelberg (2005). Scholar
  3. 3.
  4. 4.
    NeuLog Sensors. Accessed Dec 01
  5. 5.
    Published somewhere else Google Scholar
  6. 6.
    Nguyen, N.-V., Tu Nguyen, T.-K., Lee, H.-H.: A reduced switching loss PWM strategy to eliminate common-mode voltage in multilevel inverters. IEEE Trans. Power Electron. 30, 5425–5438 (2015). ISSN 0885-8993CrossRefGoogle Scholar
  7. 7.
    Kuhmann, W., Boucsein, W., Schaefer, F., Alexander, J.: Experimental investigation of psychophysiological stress-reactions induced by different system response times in human-computer interaction. Ergonomics 30 (1987)Google Scholar
  8. 8.
    Denes, G., Pizzamiglio, L. (eds.): Handbook of Clinical and Experimental Neuropsychology, p. 33. Psychology Press (1999). ISBN 9780863775420Google Scholar
  9. 9.
    Sano, A., Picard, R., Stickgold, R.: Quantitative analysis of wrist electrodermal activity during sleep. Int. J. Psychophysiol. 94(3), 382–389 (2014)CrossRefGoogle Scholar

Copyright information

© This is a U.S. government work and its text is not subject to copyright protection in the United States; however, its text may be subject to foreign copyright protection 2018

Authors and Affiliations

  1. 1.University of Washington BothellBothellUSA

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