Title :
An innovative framework for rare neurodegenerative diseases analysis
Author :
Bevilacqua, Vitoantonio ; Grimaldi, Gianluca ; Semeraro, Davide ; Simeone, Sergio ; Delussi, Marianna ; de Tommaso, Marina
Author_Institution :
Dipt. di Ing. Elettr. e dell´Inf., Politec. di Bari, Bari, Italy
Abstract :
In this paper we introduce a new non-invasive, inexpensive and functional tool in order to support physicians and specialists during visits of patients who are affected by neurodegenerative diseases, as well as Huntington´s one. The proposed framework succeeds in automatizing International Affective Picture System (IAPS) test which consists of two phases: the first allows to show a sub set of pictures stored in a database, while the second takes note of Self Assessment Manikin scale evaluations; during the session, the patient´s face is captured by a webcam for extracting emotional features for each frame. This framework, therefore, saves data in a SQLite Database. The proposed framework provides a medical efficient evaluation to evaluate the emotional impairment in these patients by comparing the results given by facial expressions analyzer and those given by the leading layer themselves in a long observation period.
Keywords :
biomedical optical imaging; diseases; emotion recognition; feature extraction; medical image processing; neurophysiology; Huntington´s disease; IAPS; International Affective Picture System test; SQLite Database; Self Assessment Manikin scale evaluations; emotional feature extraction; emotional impairment; facial expression analyzer; functional tool; noninvasive tool; patient face; rare neurodegenerative disease analysis; webcam; Databases; Diseases; Face; Feature extraction; Graphical user interfaces; High definition video; Webcams; Emotion Recognition; Emotional Facial Expression Recognition; Huntington´s Disease; IAPS;
Conference_Titel :
Medical Measurements and Applications (MeMeA), 2015 IEEE International Symposium on
Conference_Location :
Turin
DOI :
10.1109/MeMeA.2015.7145265