Intelligent Technologies for Interactive Entertainment. 10th EAI International Conference, INTETAIN 2018, Guimarães, Portugal, November 21-23, 2018, Proceedings

Research Article

A Preliminary Evaluation of a Computer Vision-Based System to Detect Effects of Aromatherapy During High School Classes via Movement Analysis

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  • @INPROCEEDINGS{10.1007/978-3-030-16447-8_7,
        author={Ksenia Kolykhalova and David O’Sullivan and Stefano Piana and Hyungsook Kim and Yonghyun Park and Antonio Camurri},
        title={A Preliminary Evaluation of a Computer Vision-Based System to Detect Effects of Aromatherapy During High School Classes via Movement Analysis},
        proceedings={Intelligent Technologies for Interactive Entertainment. 10th EAI International Conference, INTETAIN 2018, Guimar\"{a}es, Portugal,  November 21-23, 2018, Proceedings},
        proceedings_a={INTETAIN},
        year={2019},
        month={4},
        keywords={Movement analysis Aromatherapy Pose estimation},
        doi={10.1007/978-3-030-16447-8_7}
    }
    
  • Ksenia Kolykhalova
    David O’Sullivan
    Stefano Piana
    Hyungsook Kim
    Yonghyun Park
    Antonio Camurri
    Year: 2019
    A Preliminary Evaluation of a Computer Vision-Based System to Detect Effects of Aromatherapy During High School Classes via Movement Analysis
    INTETAIN
    Springer
    DOI: 10.1007/978-3-030-16447-8_7
Ksenia Kolykhalova1,*, David O’Sullivan2, Stefano Piana1, Hyungsook Kim3, Yonghyun Park3, Antonio Camurri1
  • 1: University of Genova
  • 2: Pusan National University
  • 3: Inha University
*Contact email: ksenia.kolykhalova@dibris.unige.it

Abstract

In this paper we present a pilot study on non-intrusive visual observation and estimation of affective parameter using recorded videos (RGB). We aim at estimating student engagement analyzing upper-body movement comparing two different classroom settings: with the introduction of aromatherapy during the class vs standard lesson. Following previous studies on how aromatherapy can alter movement behaviour, we chose Lavender essential oil. We used computer vision techniques for pose estimation and developed software modules for the extraction of movement features from media data. Data show significant increases in overall velocity and acceleration when the participants are exposed to the aromatherapy condition. Significant decreases in neck flexion angle has been also observed, that shows students had a straighter head posture (i.e. sitting up straighter). No significant differences were observed for the overall kinetic energy of the joints and spinal extension.