The X-ITE Pain Database has been recorded in a study with 134 participants in collaboration with the  Medical Psychology department of the University Clinic Ulm.
It comprises video of the face (frontal and side-view color video and frontal thermal video), video of the body (color and depth), audio, electrodermal activity (EDA), electrocardiogram (ECG), and surface electromyography (sEMG) at the trapezius, corrugator, and zygomaticus muscles recorded during phasic (short) and tonic (1 minute long) pain stimulation by heat and electricity, each with 3 intensities.
In total, it includes about 24,000 phasic and 800 tonic pain stimuli and reactions.

Beispieldaten der X-ITE Pain Database. Quelle: Unser Artikel in JoVE

Publikationen

• Philipp Werner, Daniel Lopez-Martinez, Steffen Walter, Ayoub Al-Hamadi, Sascha Gruss, Rosalid Picard
  Automatic Recognition Methods Supporting Pain Assessment: A Survey (ResearchGate)
  IEEE Trans. on Affective Computing, 2019, DOI: 10.1109/TAFFC.2019.2946774. Impact-Factor (2018): 6.288
• Philipp Werner, Ayoub Al-Hamadi, Sascha Gruss and Steffen Walter
  Twofold-Multimodal Pain Recognition with the X-ITE Pain Database
  International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW), 2019.
• Sascha Gruss, Mattis Geiger, Philipp Werner, Oliver Wilhelm, Ayoub Al-Hamadi, Steffen Walter
  Multimodal Signals for Analyzing Pain Responses to Thermal and Electrical Stimuli
  JoVE (146), 2019. Impact-Factor (2017): 1.184

 Kontakt: Philipp Werner, Ayoub Al-Hamadi