Autonomic Nervous System Dynamics for Mood and Emotional-State Recognition Significant Advances in Data Acquisition, Signal Processing and Classification /
This monograph reports on advances in the measurement and study of autonomic nervous system (ANS) dynamics as a source of reliable and effective markers for mood state recognition and assessment of emotional responses. Its primary impact will be in affective computing and the application of emotion-...
| Main Author: | Valenza, Gaetano, |
|---|---|
| Other Authors: | Scilingo, E. Pasquale,, SpringerLink (Online service) |
| Format: | eBook |
| Language: | English |
| Published: |
Cham :
Springer,
2014.
|
| Physical Description: |
1 online resource (xix, 162 pages) : illustrations (some color). |
| Series: |
Series in bioengineering.
|
| Subjects: |
Table of Contents:
- 880-01
- Part I.
- Introductory Remarks and State of the Art
- Introduction to Advances in Autonomic Nervous System Dynamics for Mood and Emotional-State Recognition
- Emotions and Mood States: Modeling, Elicitation, and Classification
- Part II.
- Methodology
- Data Acquisition: Experimental Procedures and Wearable Monitoring Systems
- Advanced Signal Processing and Modeling for ANS Data
- Part III.
- Results
- Experimental Evidences on Healthy Subjects and Bipolar Patients
- Part IV.
- Conclusions and Future Works
- Conclusions and Discussion on Mood and Emotional-State Recognition Using the Autonomic Nervous System Dynamics
- Book Summary and Perspectives for Future Research.