Skip to Main content Skip to Navigation
Conference papers

Emotion Analysis in Hospital Bedside Infotainment Platforms Using Speeded up Robust Features

Abstract : Far from the heartless aspect of bytes and bites, the field of affective computing investigates the emotional condition of human beings interacting with computers by means of sophisticated algorithms. Systems that integrate this technology in healthcare platforms allow doctors and medical staff to monitor the sentiments of their patients, while they are being treated in their private spaces. It is common knowledge that the emotional condition of patients is strongly connected to the healing process and their health. Therefore, being aware of the psychological peaks and troughs of a patient, provides the advantage of timely intervention by specialists or closely related kinsfolk. In this context, the developed approach describes an emotion analysis scheme which exploits the fast and consistent properties of the Speeded-Up Robust Features (SURF) algorithm in order to identify the existence of seven different sentiments in human faces. The whole functionality is provided as a web service for the healthcare platform during regular Web RTC video teleconference sessions between authorized medical personnel and patients. The paper discusses the technical details of the implementation and the incorporation of the proposed scheme and provides initial results of its accuracy and operation in practice.
Document type :
Conference papers
Complete list of metadata

Cited literature [31 references]  Display  Hide  Download

https://hal.inria.fr/hal-02331332
Contributor : Hal Ifip <>
Submitted on : Thursday, October 24, 2019 - 12:51:35 PM
Last modification on : Thursday, October 24, 2019 - 12:54:37 PM
Long-term archiving on: : Saturday, January 25, 2020 - 3:16:57 PM

File

 Restricted access
To satisfy the distribution rights of the publisher, the document is embargoed until : 2022-01-01

Please log in to resquest access to the document

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

A. Kallipolitis, M. Galliakis, A. Menychtas, I. Maglogiannis. Emotion Analysis in Hospital Bedside Infotainment Platforms Using Speeded up Robust Features. 15th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), May 2019, Hersonissos, Greece. pp.127-138, ⟨10.1007/978-3-030-19823-7_10⟩. ⟨hal-02331332⟩

Share

Metrics

Record views

69