Opening book details…
Can I read Depression Behavior Detection Model Based on Participation in Serious Games on EtoBox?
Depression Behavior Detection Model Based on Participation in Serious Games by Rytis Maskeliūnas; Tomas Blažauskas; Robertas Damaševičius is a book available to read on EtoBox.
What is Depression Behavior Detection Model Based on Participation in Serious Games about?
Managing depression is one of the main challenges that health specialists have to deal with. Due to the cumulative nature of depression, the major problem is that a long-term observation of symptoms is required to make an accurate decision about an individual's state. The depressed mood rate of an individual can be estimated according to recorded physiological and emotional information. We propose a mobile health monitoring system using wearable smart identification sensors (EEG, ECG, EMG, gaze tracking, and physical activity data) that capture stress and specific subject behaviors as a result of the participation in a serious game. The main objective is to study the impact of serious games on the human cognitive system in treating the early signs of depression by using a multi-level systems approach for representing the structure and dynamics of human cognitive functions. Our initial findings show that subjects with negative moods have been characterized by psychomotor retardation and lower correlation between the neural and cardiac systems.
- Author
- Rytis Maskeliūnas; Tomas Blažauskas; Robertas Damaševičius
- Publisher
- Springer International Publishing : Imprint: Springer
- Published
- 2017
- Language
- EN
- ISBN
- 9783319608402
- Subjects
- Management, Business, Computer Science
More by Rytis Maskeliūnas; Tomas Blažauskas; Robertas Damaševičius
Browse all works by Rytis Maskeliūnas; Tomas Blažauskas; Robertas Damaševičius
Similar books
- Machine Learning-Based Approaches in the Detection of Depression: A Comparative Study — Dipanwita Ghosh; Mihir Sing; Arpan Adhikary (2023)
- EEG-Based Depression Detection with a Synthesis-Based Data Augmentation Strategy — Xiangyu Wei; Meifei Chen; Manxi Wu; Xiaowei Zhang; Bin Hu (2021)
- Smart Contract Vulnerability Detection Model Based on Siamese Network — Weijie Chen; Ran Guo; Guopeng Wang; Lejun Zhang; Jing Qiu; Shen Su; Yuan Liu; Guangxia Xu; Huiling Chen (2023)
- Research on E-commerce Customer Value Segmentation Model Based on Network Behavior — Jing Zhang; Juan Li (2023)
- Crosslingual Depression Detection in Twitter Using Bilingual Word Alignments — Laritza Coello-Guilarte; Rosa María Ortega-Mendoza; Luis Villaseñor-Pineda; Manuel Montes-y-Gómez (2019)
- A KNN-Based Intrusion Detection Model for Smart Cities Security — Mohamed Abdedaime; Ahlam Qafas; Mounir Jerry; Azidine Guezzaz (2022)