Abstract
The Human++ program aims at achieving highly miniaturized, wireless, intelligent and autonomous body sensor nodes to assist our health, comfort and lifestyle. In this paper the concept of body area network is applied to wireless monitoring of emotions, thus opening a new, affective, dimension in human computer interaction. A prototype body area network targeting the monitoring of physiological responses from the autonomous system is introduced, and tested for the classification of discrete emotions. Using data fusion and regression analysis, we show that the wireless physiological data can be mapped in real-time to an estimation of an individual’s arousal level. Results in a controlled environment are presented, and specific challenges that need to be overcome for a widespread use of the technology are discussed. Finally, we show how advances in micro-power generation devices may lead to fully autonomous systems in the future.
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Penders, J., Gyselinckx, B., et al.: Human++: from technology to emerging health monitoring concepts. In: Proceedings of the 5th International Workshop on Wearable and Implantable Body Sensor Networks, June 1-3, pp. 94–98. The Chinese University of Hong Kong, China (2008)
Cacioppo, J.T., Berntson, G.G.: Relationships between attitudes and evaluative space: A critical review with emphasis on the separability of positive and negative substrates. Psychological Bulletin 115, 401–423 (1994)
Plutchik, R.: Emotion: Theory, research and experience, ch. 1. Theories of emotion, vol. 1, pp. 3–31. Academic Press, New York (1980)
Russell, J.A.: A circumplex model of affect. Journal of Personality and Social Psychology 39, 1281–1288 (1980)
De Silva, L.C., Miyasato, T., Nakatsu, R.: Facial emotion recognition using multimodal information. In: Proc. IEEE Int. Conf. on Information, Communications and Signal Processing (ICICS 1997), Singapore, September 1997, pp. 397–401 (1997)
Cowie, R., Douglas-Cowie, E., Tsapatsoulis, N., Votsis, G., Kollilas, S., Fellenz, W., Taylor, J.: Emotion recognition in human-computer interaction. IEEE Signal Process. Mag. 18(1), 32–80 (2001)
Fernandez, R., Picard, R.W.: Classical and novel discriminant features for affect recognition from speech. In: Proc. of Interspeech 2005 (September 2005)
Kreibig, S.D., Wilhelm, F.H., Roth, W.T., Gross, J.J.: Cardiovascular, electrodermal, and respiratory response patterns to fear- and sadness-inducing films. Psychophysiology 44(5), 787–806 (2007)
Picard, R., Vyzas, E., Healey, J.: Toward machine emotional intelligence: analysis of affec-tive physiological state. IEEE Trans. Pattern Anal. Mach. Intell. 23(10), 1175–1191 (2001)
Bailenson, J.N., Pontikakis, E.D., Mauss, I.B., Gross, J.J., Jabon, M.E., Hutcherson, C.A., Nass, C., John, O.: Real-time classification of evoked emotions using facial feature tracking and physiological responses. International Journal of Human-Computer Studies 66, 303–317 (2008)
Yazicioglu, R.F., Merken, P., Puers, R., et al.: A 60 μW 60 nV/√Hz Readout Front-End for Port-able Biopotential Acquisition Systems. IEEE J. Solid-State Circuits, 1100–1110 (May 2007)
Gross, J.J., Levenson, R.W.: Emotion elicitation using films. Cognition and Emotion 9(1), 87–108 (1995)
Brown, L., Grundlehner, B., van de Molengraft, J., Penders, J., Gyselinckx, B.: Body Area Networks for monitoring autonomous nervous system responses (in press)
Lisetti, C.L., Nasoz, F.: Using noninvasive wearable computers to recognise human emotions from physiological signals. EURASIP Journal on Applied Signal Processing 11, 1672–1687 (2004)
Kim, K.H., Bang, S.W., Kim, S.R.: Emotion recognition system using short-term monitoring of physiological signals. Med. Biol. Eng. Comput. 42(3), 419–427 (2004)
Collet, C., Vernet-Maury, E., Delhomme, G., Dittmar, A.: Autonomic nervous system response patterns specificity to basic emotions. J. Auton. Nerv. Syst. 62(1-2), 45–57 (1997)
Grundlehner, B., Brown, L., Penders, J., Gyselinckx, B.: The design and analysis of real-time, continuous arousal monitor (in press)
Stroop, J.R.: Studies of interference in serial verbal reactions. Journal of Experimental Psychology 18, 643–663 (1935)
Ruffini, G., et al.: First human trials of a dry electrophysiology sensor using a carbon nanotube array interface. Sensors and Actuators A: Physical 144(2), 275–279 (2008)
Christiaens, W., Loeher, T., Pahl, B., Feil, M., Vandevelde, B., Vanfleteren, J.: Embedding and assembly of ultrathin chips in multilayer flex boards. J. Circuit World 34(3), 3–8 (2008)
Brosteaux, D., Axisa, F., Gonzalez, M., Vanfleteren, J.: Design and Fabrication of Elastic Inter-connections for Stretchable Electronic Circuits. IEEE Electron. Device Letters 28(7), 552–554 (2007)
Torfs, T., Leonov, V., Vullers, R.J.M.: Pulse Oximeter Fully Powered by Human Body Heat. Sensors & Transducers Journal 80(6), 1230–1238 (2007)
Leonov, V., Gyselinckx, B., Van Hoof, C., Torfs, T., Yazicioglu, F., Vullers, R.J.M., Fiorini, P.: Wearable self-powered wireless devices with thermoelectric energy scavengers. In: Proceed. Conf. Smart Systems Integration, Barcelona, April 9-10, pp. 217–224 (2008)
Van Bavel, M., Leonov, V., Yazicioglu, R.F., Torfs, T., Van Hoof, C., Posthuma, N., Vullers, R.J.M.: Wearable Battery-Free Wireless 2-Channel EEG Systems Powered by Energy Scavengers. Sensors & Transducers 94(7), 103–115 (2008)
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Penders, J., Grundlehner, B., Vullers, R., Gyselinckx, B. (2009). Potential and Challenges of Body Area Networks for Affective Human Computer Interaction. In: Schmorrow, D.D., Estabrooke, I.V., Grootjen, M. (eds) Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience. FAC 2009. Lecture Notes in Computer Science(), vol 5638. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02812-0_24
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DOI: https://doi.org/10.1007/978-3-642-02812-0_24
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