Welcome to the InfoSci Platform
Reference Hub1
Person Identification System in a Platform for Enabling Interaction With Individuals Affected by Profound and Multiple Learning Disabilities

Person Identification System in a Platform for Enabling Interaction With Individuals Affected by Profound and Multiple Learning Disabilities

Carmen Campomanes-Alvarez, Blanca Rosario Campomanes-Alvarez, Pelayo Quirós
Copyright: © 2020 |Volume: 12 |Issue: 1 |Pages: 17
ISSN: 1942-9045|EISSN: 1942-9037|EISBN13: 9781799806097|DOI: 10.4018/IJSSCI.2020010103
Cite Article Cite Article

MLA

Campomanes-Alvarez, Carmen, et al. "Person Identification System in a Platform for Enabling Interaction With Individuals Affected by Profound and Multiple Learning Disabilities." IJSSCI vol.12, no.1 2020: pp.30-46. http://doi.org/10.4018/IJSSCI.2020010103

APA

Campomanes-Alvarez, C., Campomanes-Alvarez, B. R., & Quirós, P. (2020). Person Identification System in a Platform for Enabling Interaction With Individuals Affected by Profound and Multiple Learning Disabilities. International Journal of Software Science and Computational Intelligence (IJSSCI), 12(1), 30-46. http://doi.org/10.4018/IJSSCI.2020010103

Chicago

Campomanes-Alvarez, Carmen, Blanca Rosario Campomanes-Alvarez, and Pelayo Quirós. "Person Identification System in a Platform for Enabling Interaction With Individuals Affected by Profound and Multiple Learning Disabilities," International Journal of Software Science and Computational Intelligence (IJSSCI) 12, no.1: 30-46. http://doi.org/10.4018/IJSSCI.2020010103

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

Individuals with profound and multiple learning disabilities have restricted mobility together with sensory and intellectual impairments. They are unable to produce conventional behaviors to communicate particular needs. Within the INSENSION project, an intelligent platform for enabling the interaction of this kind of people with others, is developed. Its goal is to increase their ability of self-communication through digital services enhancing their well-being. The system will recognize facial expressions, body gestures, vocalizations, and physiological parameters using the information captured by cameras and sensors, and it will associate them with their meaning in an individualized way. Hence, person identification is required in order to personalize the understanding. In this work, a new facial recognition method is developed and configured to be included in the INSENSION platform. The proposed system identifies six individuals as well as discards the other people that could appear in the videos, assuring the monitoring of the right person.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.