A5043470832- Manufacturing Process and Optimization
- Emotion and Mood Recognition
- Digital Transformation in Industry
- Human-Automation Interaction and Safety
- EEG and Brain-Computer Interfaces
- Heart Rate Variability and Autonomic Control
University of Modena and Reggio Emilia
2020
This paper proposes an adaptive human-machine collaboration paradigm based on machine learning. Human-machine requires more than letting humans and machines interact according to fixed rules. A decision-maker is needed assess production status activate adaptations that improve productivity workers’ well-being. The proposed solution has been tested in injection moulding manufacturing line. By introducing a physiological monitoring system smart decision-maker, relief from fatigue mental stress...
This paper is motivated by the need of assessing cognitive effort in affective robotics. In this context, ultimate goal that mental state while subject interacting with a robotic system, gathering implicit and objective information unobtrusively. To end, we focus on wearable devices do not affect interaction human robot. particular, consider some commercial multi-purpose devices, such as an armband, smartwatch chest strap, compare them terms accuracy detecting effort. experiment setting,...