Abstract
In order to provide support to the implementation of on-line and remote systems for the early detection of interactional disorders, this paper reports on the exploitation of handwriting and drawing features for detecting negative moods. The features are collected from depressed, stressed, and anxious subjects, assessed with DASS-42, and matched by age and gender with handwriting and drawing features of typically ones. Mixed ANOVA analyses, based on a binary categorization of the groups, reveal significant differences among features collected from subjects with negative moods with respect to the control group depending on the involved exercises and features categories (in time or frequency of the considered events). In addition, the paper reports the description of a large database of handwriting and drawing features collected from 240 subjects.
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References
Antony, M.M., Bieling, P.J., Cox, B.J., Enns, M.W., Swinson, R.P.: Psychometric properties of the 42-item and 21-item versions of the depression anxiety stress scales in clinical groups and a community sample. Psychol. Assess. 10(2), 176–181 (1998)
Brown, T.A., Chorpita, B.F., Korotitsch, W., Barlow, D.H.: Psychometric properties of the depression anxiety stress scales (DASS) in clinical samples. Behav. Res. Therapy 35(1), 79–89 (1997)
Chen, C.-C., Aggarwal, J.K.: Modeling human activities as speech. CVPR 2011, 3425–3432 (2011)
Clara, I.P., Cox, B.J., Enns, M.W.: Confirmatory factor analysis of the depression-anxiety-stress scales in depressed and anxious patients. J. Psychopathol. Behav. Assess. 23(1), 61–67 (2001)
Cordasco, G., Esposito, M., Masucci, F., Riviello, M.T., Esposito, A., Chollet, G., Schlgl, S., Milhorat, P., Pelosi. G.: Assessing voice user interfaces: the vassist system prototype. In: 2014 5th IEEE Conference on Cognitive Infocommunications (CogInfoCom), pp. 91–96 (2014)
Cordasco, G., Riviello, M.T., Capuano, V., Baldassarre, I., Esposito, A.: Youtube emotional database: how to acquire user feedback to build a database of emotional video stimuli. In: 2013 IEEE 4th International Conference on Cognitive Infocommunications (CogInfoCom), pp. 381–386 (2013)
Crawford, J.R., Henry, J.D.: The depression anxiety stress scales (DASS): normative data and latent structure in a large non-clinical sample. Br. J. Clin. Psychol. 42(2), 111–131 (2003)
Esposito, A., Esposito, A.M., Vogel, C.: Needs and challenges in human computer interaction for processing social emotional information. Pattern Recogn. Lett. 66(C), 41–51 (2015)
Folstein, M.F., Folstein, S.E., McHugh, P.R.: "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician. J. Psychiatr. Res. 12(3), 189–198 (1975)
Hyungsin, K.: The clockme system: computer-assisted screening tool for dementia. Ph.D. Dissertation, College Computing, Georgia Institute of Technology (2013)
Kline, P.: The Handbook of Psychological Testing. Routledge, London, New York (2000)
Likforman-Sulem, L., Esposito, A., Faundez-Zanuy, M., Clmenon, S., Cordasco, G.: EMOTHAW: a novel database for emotional state recognition from handwriting and drawing. IEEE Trans. Hum.-Mach. Syst. 47, 273–284 (2016)
Lovibond, P.F., Lovibond, S.H.: The structure of negative emotional states: comparison of the depression anxiety stress scales (DASS) with the beck depression and anxiety inventories. Behav. Res. Therapy 33(3), 335–343 (1995)
Luria, G., Kahana, A., Rosenblum, S.: Detection of deception via handwriting behaviors using a computerized tool: toward an evaluation of malingering. Cogn. Comput. 6(4), 849–855 (2014)
Maldonato, M., Dell’Orco, S., Esposito, A.: The emergence of creativity. World Futures 72(7–8), 319–326 (2016)
Neils-Strunjas, J., Shuren, J., Roeltgen, D., Brown, C.: Perseverative writing errors in a patient with alzheimer’s disease. Brain Lang. 63(3), 303–320 (1998)
O’Reilly, C., Plamondon, R.: Design of a neuromuscular disorders diagnostic system using human movement analysis. In: 11th International Conference on Information Science, Signal Processing and their Applications, ISSPA 2012, Montreal, QC, Canada, 2–5 July 2012, pp. 787–792 (2012)
Plamondon, R., Srihari, S.N.: On-line and off-line handwriting recognition: a comprehensive survey. IEEE Trans. Pattern Anal. Mach. Intell. 22(1), 63–84 (2000)
Plamondon, R., O’Reilly, C., Ouellet-Plamondon, C.: Strokes against stroke–strokes for strides. Pattern Recogn. 47(3), 929–944 (2014)
Riviello, M.T., Capuano, V., Ombrato, G., Baldassarre, I., Cordasco, G., Esposito, A.: In: The Influence of Positive and Negative Emotions on Physiological Responses and Memory Task Scores, pp. 315–323. Springer, Bassis, Simone and Esposito, Anna and Morabito, Francesco Carlo, Cham (2014)
Rosenblum, S., Parush, S., Weiss, P.L.: The in air phenomenon: temporal and spatial correlates of the handwriting process. Percept. Mot. Skills 96, 933–9545 (2003)
Scibelli, F., Troncone, A., Likforman-Sulem, L., Vinciarelli, A., Esposito, A.: How major depressive disorder affects the ability to decode multimodal dynamic emotional stimuli. Front. in ICT 3, 16 (2016)
Sesa-Nogueras, E., Faundez-Zanuy, M., Mekyska, J.: An information analysis of in-air and on-surface trajectories in online handwriting. Cogn. Comput. 4(2), 195–205 (2012)
Severino, G.A., Haynes, W.D.G.: Development of an italian version of the depression anxiety stress scales. Psychol. Health Med. 15(5), 607–621 (2010). PMID: 20835970
Tang, T.L.-P.: Detecting honest people’s lies in handwriting. J. Bus. Ethics 106(4), 389–400 (2012)
Troncone, A., Palumbo, D., Esposito. A.: Mood Effects on the Decoding of Emotional Voices. pp. 325–332. Springer, Bassis, Simone and Esposito, Anna and Morabito, Francesco Carlo, Cham (2014)
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The research leading to the results presented in this paper has been conducted in the project EMPATHIC that received funding from the European Unions Horizon 2020 research and innovation programme under grant agreement number 769872.
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Cordasco, G., Scibelli, F., Faundez-Zanuy, M., Likforman-Sulem, L., Esposito, A. (2019). Handwriting and Drawing Features for Detecting Negative Moods. In: Esposito, A., Faundez-Zanuy, M., Morabito, F., Pasero, E. (eds) Quantifying and Processing Biomedical and Behavioral Signals. WIRN 2017 2017. Smart Innovation, Systems and Technologies, vol 103. Springer, Cham. https://doi.org/10.1007/978-3-319-95095-2_7
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