Arousal level classification in the ageing adult by measuring electrodermal skin conductivity

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 9456, Issue , 2015, Pages 213-223

  Martínez Rodrigo, Arturo ^a   Zangróniz, Roberto ^a   Pastor, José Manuel ^a   Fernández Caballero, Antonio ^b  

^a UNIVERSITY OF CASTILLA LA MANCHA   (Spain)

^b INSTITUTO DE INVESTIGACIÓN EN INFORMÁTICA DE ALBACETE   (Spain)

Author keywords

Arousal quantification; Electrodermal activity; Wearable

Indexed keywords

ARTIFICIAL INTELLIGENCE; WEARABLE TECHNOLOGY;

AMBIENT INTELLIGENCE; AROUSAL QUANTIFICATION; CONTINUOUS MONITORING; ELECTRODERMAL ACTIVITY; ELECTRONIC DEVICE; QUALITY OF LIFE; WEARABLE; WEARABLE DEVICES;

ELECTRODES;

EID: 84954128299     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-26508-7_21     Document Type: Conference Paper

References (21)

1. Cortés, U., Urdiales, C., Annicchiarico, R.: Intelligent healthcare managing: an assistive technology approach. In: Sandoval, F., Prieto, A.G., Cabestany, J., Graña, M. (eds.) IWANN 2007. LNCS, vol. 4507, pp. 1045–1051. Springer, Heidelberg (2007)
2. Mowafey, S., Gardner, S.: A novel adaptive approach for home care ambient intelligent environments with an emotion-aware system. In: UKACC International Conference on Control, Cardiff, 3–5 September 2012, pp. 771–777 (2012)
3. Acampora, G., Cook, D.J., Rashidi, P., Vasilakos, A.V.: A survey on ambient intelligence in health care. Proc. IEEE 101(12), 2470–2494 (2013)
4. García-Rodríguez, C., Martínez-Tomás, R., Cuadra-Troncoso, J.M., Rincón, M., Fernández-Caballero, A.: A simulation tool for monitoring elderly who suffer from disorientation in a smart home. Expert Syst. Accepted (2015)
5. Sokolova, M.V., Fernández-Caballero, A., López, M.T., Martínez-Rodrigo, A., Zangríniz, R., Pastor, J.M.: A distributed architecture for multimodal emotion identification. In: Bajo, J., Hernández, J.Z., Mathieu, P., Campbell, A., Fernández- Caballero, A., Moreno, M.N., Julián, V., Alonso Betanzos, A., Jiménez-López, M.D., Botti, V. (eds.) Trends in Practical Applications of Agents, Multi-Agent Systems and Sustainability. AISC, vol. 372, pp. 125–132. Springer, Heidelberg (2015)
6. Sokolova, M.V., Fernández-Caballero, A., Ros, L., Latorre, J.M., Serrano, J.P.: Evaluation of color preference for emotion regulation. In: Vicente, J.M.F., Álvarez- S´anchez, J.R., de la Paz López, F., Toledo-Moreo, F.J., Adeli, H. (eds.) Artificial Computation in Biology and Medicine. LNCS, vol. 9107, pp. 479–487. Springer, Heidelberg (2015)
7. Sokolova, M.V., Fernández-Caballero, A.: A review on the role of color and light in affective computing. Appl. Sci. 5(3), 275–293 (2015)
8. Fernández-Sotos, A., Fernández-Caballero, A., Latorre, J.M.: Elicitation of emotions through music: the influence of note value. In: Vicente, J.M.F., Álvarez- Sánchez, J.R., de la Paz L´opez, F., Toledo-Moreo, F.J., Adeli, H. (eds.) Artificial Computation in Biology and Medicine. LNCS, vol. 9107, pp. 488–497. Springer, Heidelberg (2015)
9. World Health Organization. Ageing and Life Course (2011)
10. Hanson, M.A., Powell. H.CJr, Barth, A.T., Ringgenberg, K., Calhoun, B.H., Aylor, J.H., Lach, J.: Body area sensors networks: challenges and opportunities. IEEE Comput. Soc. 42(1), 58–65 (2009)
11. Fernández-Caballero, A., Latorre, J.M., Pastor, J.M., Fernández-Sotos, A.: Improvement of the elderly quality of life and care through smart emotion regulation. In: Pecchia, L., Chen, L.L., Nugent, C., Bravo, J. (eds.) IWAAL 2014. LNCS, vol. 8868, pp. 348–355. Springer, Heidelberg (2014)
12. Koelstra, S., Muhl, C., Soleymani, M., Lee, J.-S., Yazdani, A., Ebrahimi, T., Pun, T., Nijholt, A., Patras, I.: DEAP: a database for emotion analysis using physiological signals. IEEE Trans. Affect. Comput. 3(1), 18–31 (2012)
13. Martínez-Rodrigo, A., Zangróniz, R., Pastor, J.M., Latorre, J.M., Fernández- Caballero, A.: Emotion detection in ageing adults from physiological sensors. In: Mohamed, A., Novais, P., Pereira, A., González, G.V., Fernández-Caballero, A. (eds.) Ambient Intelligence-Software and Applications, vol. 376, pp. 253–261. Springer, Switzerland (2015)
14. Healey, J.A., Picard, R.W.: Detecting stress during real-world driving tasks using physiological sensors. IEEE Trans. Intell. Transp. Syst. 6(2), 156–166 (2005)
15. Veltman, J.A., Gaillard, A.W.K.: Physiological indicies of workload in a simulated flight task. Biol. Psychol. 42, 323–342 (1996)
16. Nagamine, K., Nozawa, A., Ide, H.: Evaluation of emotions by nasal skin temperature on auditory stimulus and olfactory stimulus. IEE J. Trans. EIS 124(9), 1914–1915 (2004)
17. Lidberg, L., Wallin, G.: Sympathhetic skin nerve discharges in relation to amplitude of skin resistance responses. Psychopysiology 18(3), 268–270 (1981)
18. Venables, P.H., Christie, M.J.: Electrodermal activity. Techniques in Psychophysiology, pp. 3–67. Wiley, New York (2012)
19. Lang, P.J., Bradley, M.M., Cuthbert, B.N.: International affective picture system (IAPS): affective ratings of pictures and instruction manual. Technical report A-8, University of Florida, Gainesville (2008)
20. Martínez-Rodrigo, A., Alcaraz, R., Rieta, J.J.: Morphological variability of the Pwave for premature envision of paroxysmal atrial fibrillation events. Physiol. Meas. 35, 1–14 (2014)
21. Healey, J.A.: Wearable and automotive system for affect recognition from physiology. Philosophical Dissertation, Massachusetts Institute of Technology (2000)