Checklist / Questions to ask your team
- Are you using affective data and fusing together with other datasets?
- What sensor signals are being used to capture emotion data
- Are you using Active vs passive style monitoring, individual vs. crowd and sensor data will be used for recognition or detection
- What technique to you use to find patterns and correlations between emotion meaning and biometrics (heart rate, perspiration, speech patterns, etc) ie. how do you articulate the s difference between recognizing perceived emotional states (how a third party thinks someone feels) versus internally felt emotional states (how the person themselves
  would describe their own emotional state)?
- If you are measuring levels of arousal , describe how you do it?
- Describe how you simulate emotion or expressions of emotion, e.g. a social robot with gestures
2. External Resources - Tools to use
3. Case Studies
4. Further Readings
1. Sensor-variable synchronicity (e.g. variable spectrum capture, event-based visual sequencing, etc.).