Abstract
The analysis of emotions in patients with Alzheimer’s disease is a field that has been extensively studied in recent years with the purpose of tracking the progress of the disease. This study shows a first idea to contribute with a method to retrieve not only simple but complex emotions from patients, which we will call emotion pattern. Preliminary results showed that it is possible to identify the emotions of depression and guilt, which are typical in this kind of patients. Our work is in development, and aims to identify not only basic emotions but complex emotions through semantic tools, in order to identify complex patterns which facilitate the tasks of caregivers of Alzheimer’s patients.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
World Health Organization. Dementia a public health priority (2012), http://whqlibdoc.who.int/publications/2012/9789241564458_eng.pdf (cited: August 20, 2014)
García-Rodriguez, B., Fusari, A., Ellgring, H.: Procesamiento emocional de las expresiones faciales en el envejecimiento normal y patológico. Neurol. 46, 609–617 (2008)
Mammarella, N.: Is Emotional Working Memory Training a New Avenue of AD Treatment? A review. Aging and Disease 5(1), 35–40 (2013)
Seeman, T.E., Lusignolo, T.M., Albert, B.L.: Social relationships, social support, and patterns of cognitive aging in healthy, high-functioning older adults: MacArthur studies of successful aging. Health Psychology 20(4), 243–255 (2001)
Roudier, M., et al.: Discrimination of facial identity and of emotions in Alzheimer’s disease. J. Neyrol. Sci. 154(2), 151–158 (1998)
Almagro Antúnez, C.: Congreso Internacional de Intervencion Psicosocial arte Social y Arteterapia. Arte, emociones y alzheimer. s.n., Murcia (2012)
Izard, C.E., Kagan, J., Zajonc, R.B.: Emotion, Cognition, and Behavior, 1st edn. Cambridge University Press, New York (1988)
Burgoon, J., et al.: Augmenting Human Identification of Emotional States in Video. In: Intelligence Analysis Conference. s.n., VA (2005)
Surcinelli, P., et al.: Facial emotion recognition in trait anxiety. Journal of Anxiety Disorders 20(1), 110–117 (2006)
Neurologia.com, et al.: Emotional Indifference in Alzheimer’s Disease. The Journal of Neuropsychiatry & Clinical Neurosciences 22, 236–242 (2010)
Calder, A.J., et al.: Facial expression recognition across the adult life span. Neuropsychologia 41(2), 195–202
Keightley, M.L., et al.: Age effects on social cognition: faces tell a different story. Psychology and Aging 21(3), 558–572 (2006)
Isaacowitz, D.M., et al.: Age Differences in Recognition of Emotion in Lexical Stimuli and Facial Expressions. Psychology and Aging 22(1), 147–159 (2007)
Karikrishna, N.: Temporal Classification of events in cricket videos. In: National Conference Communications, pp. 1–5 (2011)
Chikhaoui, B., Wang, S., Pigot, H.: A new Algorithm Based on Sequential Pattern for person identification in ubiquitous environments. In: Proceedings of the Fourth International Workshop on Knowledge Discovery from Sensor Data, pp. 20–28 (2010)
Srikant, R., Agrawal, R.: Mining sequential patterns: Generalizations and performance improvements. In: Apers, P.M.G., Bouzeghoub, M., Gardarin, G. (eds.) EDBT 1996. LNCS, vol. 1057, pp. 3–17. Springer, Heidelberg (1996)
Wimmer, M., MacDonald, B.A., Jayamuni, D., Yadav, A.: Facial Expression Recognition for Human - Robot Interaction - A Prototype. In: Sommer, G., Klette, R., et al. (eds.) RobVis 2008. LNCS, vol. 4931, pp. 139–152. Springer, Heidelberg (2008)
Gunes, H., Vallverdú, J.: Automatic, Dimensional and Continuous emotion Recognition. International Journal of Synthetic Emotions 1 (2010)
Martínez-Tomas, R., et al.: On the correspondence between objects and events for the diagnosis of situations in visual surveillance task. Pattern Recognition Letters 29(8), 1117–1135 (2008)
Grassi, M.: Developing HEO Human Emotions Ontology. In: Fierrez, J., Ortega-Garcia, J., Esposito, A., Drygajlo, A., Faundez-Zanuy, M. (eds.) BioID MultiComm2009. LNCS, vol. 5707, pp. 244–251. Springer, Heidelberg (2009)
NewScientist (November 2008), http://axxon.com.ar/not/191/c-1911080.htm
MacPherson, S.E., Phillips, L.H., Della Sala, S.: Age-related differences in the ability to perceive sad facial expressions. Aging Clinical and Experimental Research 18(5), 418–424
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Arias Tapia, S.A. et al. (2014). First Contribution to Complex Emotion Recognition in Patients with Alzheimer’s Disease. In: Pecchia, L., Chen, L.L., Nugent, C., Bravo, J. (eds) Ambient Assisted Living and Daily Activities. IWAAL 2014. Lecture Notes in Computer Science, vol 8868. Springer, Cham. https://doi.org/10.1007/978-3-319-13105-4_49
Download citation
DOI: https://doi.org/10.1007/978-3-319-13105-4_49
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-13104-7
Online ISBN: 978-3-319-13105-4
eBook Packages: Computer ScienceComputer Science (R0)