Fernández Arias, AlbaOrtega Hortas, MarcosMoura, Joaquim deNovo Buján, JorgePenedo, Manuel2023-12-122023-12-122019-10Fernández, A., Ortega, M., de Moura, J., Novo, J., & Penedo, M. G. (2019). Automatic evaluation of eye gestural reactions to sound in video sequences. Engineering Applications of Artificial Intelligence, 85, 164–174. doi:10.1016/j.engappai.2019.06.0090952-1976http://hdl.handle.net/2183/34467© 2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/. This version of the article: Fernández, A., Ortega, M., de Moura, J., Novo, J., & Penedo, M. G. (2019). “Automatic evaluation of eye gestural reactions to sound in video sequences”, has been accepted for publication in Engineering Applications of Artificial Intelligence, 85, 164–174. The Version of Record is available online at: https://doi.org/10.1016/j.engappai.2019.06.009.[Abstract]: Hearing loss is a common disorder that often intensifies with age. In some cases, especially in the elderly population, the hearing loss may decrease in physical, mental and social well-being capacities. In particular, patients with signs of cognitive impairment typically present specific clinical–pathological conditions, which complicates the analysis and diagnosis of the type and severity of hearing loss by clinical specialists. In these patients, unconscious changes in gaze direction may indicate a certain perception of sound through their auditory system. In this context, this work presents a new system that supports clinical experts in the identification and classification of eye gestures that are associated with reactions to auditory stimuli by patients with different levels of cognitive impairment. The proposed system was validated using the public Video Audiometry Sequence Test (VAST) dataset, providing a global accuracy of 97.12% for the classification of eye gestures and a 100% for gestural reactions to auditory stimuli. The proposed system offers a complete analysis of audiometric video sequences, being applicable in daily clinical practice, improving the well-being and quality of life of the patients.engAtribución-NoComercial-SinDerivadas 4.0 Internacional (CC-BY-NC-ND 4.0)http://creativecommons.org/licenses/by-nc-nd/3.0/es/Sound responsesGestural reactionsHearing screeningMovement detectionScreening methodsVideo sequencesjournal articleopen access10.1016/j.engappai.2019.06.009