Name
Abstract | ||
|---|---|---|
Recognizing user emotional states while running entertainment applications such as playing game or watching video is very important to understand and improve user experience. In this work, we designed a practical system using wearable physiological sensors including skin electrical conductivity and photoplethysmography (PPG) to recognize popular non-negative emotions that people experience when they watch videos or play games on their mobile devices. We demonstrates how our system recognizes emotional states in two phases: (1) classifying the levels of arousal (high or low) and valence (positive or neutral) at the accuracy of 94.74% and 78.95% respectively; (2) recognizing three non-negative emotions: excitement, contentment, amusement by mapping arousal and valence levels using Russel circumplex model of affect. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1145/2809695.2817859 | Conference On Embedded Networked Sensor Systems |
Keywords | Field | DocType |
Emotion,wearable,physiological sensing,accuracy | Arousal,User experience design,Contentment,Simulation,Computer science,Entertainment,Wearable computer,Amusement,Real-time computing,Mobile device,Human–computer interaction,Wearable technology | Conference |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sinh Huynh | 1 | 5 | 2.18 |
| Rajesh Krishna Balan | 2 | 1056 | 80.30 |
| Youngki Lee | 3 | 832 | 70.33 |