EMOTION OBSERVATION SYSTEM (EOS)
Location
Ada, Ohio
Start Date
9-12-2025 1:40 PM
End Date
9-12-2025 1:50 PM
Description
This project presents the Emotion Observation System (EOS), a portable, sensor-driven device designed to support emotional awareness and regulation for elementary-aged children with neurological disorders. EOS integrates heart- rate monitoring, galvanic skin response measurement, and inertial sensing to infer emotional states in real time, providing multimodal feedback through haptics and a companion mobile application. The goal of this work is to translate established psychophysiological research, particularly prior findings on affect classification using HR, GSR, and movement patterns, into a compact, classroom-safe tool that offers immediate, interpretable emotional cues for both students and therapists. The purpose of the system is twofold: to give children a tangible means of understanding their physiological responses and to equip educators and caregivers with accessible insight into emotional trends over time. Although extensive research already exists regarding physiological emotion detection and affective computing, practical implementations tailored to young users in educational environments remain limited. This project aims to bridge that gap by combining validated sensing principles with a user-centered design approach, resulting in a device and software architecture that can be further refined and empirically evaluated in future research phases.
Recommended Citation
McCluskey, Chase and Randall, Alexander, "EMOTION OBSERVATION SYSTEM (EOS)" (2025). College of Engineering Student Research Colloquium. 10.
https://digitalcommons.onu.edu/eng_student_research_colloquium/2025/Presentations/10
EMOTION OBSERVATION SYSTEM (EOS)
Ada, Ohio
This project presents the Emotion Observation System (EOS), a portable, sensor-driven device designed to support emotional awareness and regulation for elementary-aged children with neurological disorders. EOS integrates heart- rate monitoring, galvanic skin response measurement, and inertial sensing to infer emotional states in real time, providing multimodal feedback through haptics and a companion mobile application. The goal of this work is to translate established psychophysiological research, particularly prior findings on affect classification using HR, GSR, and movement patterns, into a compact, classroom-safe tool that offers immediate, interpretable emotional cues for both students and therapists. The purpose of the system is twofold: to give children a tangible means of understanding their physiological responses and to equip educators and caregivers with accessible insight into emotional trends over time. Although extensive research already exists regarding physiological emotion detection and affective computing, practical implementations tailored to young users in educational environments remain limited. This project aims to bridge that gap by combining validated sensing principles with a user-centered design approach, resulting in a device and software architecture that can be further refined and empirically evaluated in future research phases.