Classification techniques using Galvanic Skin Response and speech signals were investigated for automatically determining periods of acute stress.
Classification techniques applied to speech and Galvanic Skin Response signals may provide a non-intrusive way to automatically detect periods of acute stress.
The problem of stress-management has been receiving an increasing attention in related research communities due to a wider recognition of potential problems caused by chronic stress and due to the recent developments of technologies providing non-intrusive ways of collecting continuously objective measurements to monitor person's stress level. Experimental studies have shown already that stress level can be judged based on the analysis of Galvanic Skin Response (GSR) and speech signals. In this paper we investigate how classification techniques can be used to automatically determine periods of acute stress relying on information contained in GSR and/or speech of a person.
Kurniawan et al. (Sat,) conducted a other in Acute stress. Classification techniques using Galvanic Skin Response (GSR) and speech signals was evaluated on Detection of periods of acute stress. Classification techniques using Galvanic Skin Response and speech signals were investigated for automatically determining periods of acute stress.