WheelSimPhysio-2023 dataset: Physiological and questionnaire-based dataset of immersive multisensory wheelchair simulator from 58 participants

Author:

P. Salgado DeboraORCID,Fallon SheilaORCID,Qiao YuansongORCID,L. M. Naves EduardoORCID

Publisher

Elsevier BV

Reference17 articles.

1. A questionnaire-based and physiology-inspired quality of experience evaluation of an immersive multisensory wheelchair simulator;Salgado,2022

2. D. Pereira Salgado, S. Fallon, Y. Qiao, and E. Naves, “WheelSimPhysio-2023,” vol. 2, 2024, 10.17632/Z6DFJH596R.2.

3. The Three Paradigms of HCI;Harrison,2007

4. Activity-aware mental stress detection using physiological sensors;Sun;Mob. Comput. Appl. Serv.,2012

5. “Real-time physiological signals | E4 EDA/GSR sensor.” https://www.empatica.com/en-int/research/e4/(Accessed 11 November, 2018).

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