Physiological data-driven models for motion sickness prediction.
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| Title: | Physiological data-driven models for motion sickness prediction. |
|---|---|
| Authors: | Sousa Schulman D; Department of Mechanical Engineering, University of Michigan, 2350 Hayward St, 48109, Ann Arbor, MI, USA. Electronic address: dschul@umich.edu., Kerr B; Department of Mechanical Engineering, University of Michigan, 2350 Hayward St, 48109, Ann Arbor, MI, USA., Kolachalama S; Department of Mechanical Engineering, University of Michigan, 2350 Hayward St, 48109, Ann Arbor, MI, USA., Yin S; Department of Mechanical Engineering, University of Michigan, 2350 Hayward St, 48109, Ann Arbor, MI, USA., Pienkney J; Department of Mechanical Engineering, University of Michigan, 2350 Hayward St, 48109, Ann Arbor, MI, USA., Wachsman M; Department of Mechanical Engineering, University of Michigan, 2350 Hayward St, 48109, Ann Arbor, MI, USA., Jalgaonkar N; Department of Mechanical Engineering, University of Michigan, 2350 Hayward St, 48109, Ann Arbor, MI, USA., Gao R; School of Psychology, Georgia Institute of Technology, 654 Cherry St NW, 30332, Atlanta, GA, USA., Jones MLH; Transportation Research Institute, University of Michigan, 2901 Baxter Rd, 48109, Ann Arbor, MI, USA., Awtar S; Department of Mechanical Engineering, University of Michigan, 2350 Hayward St, 48109, Ann Arbor, MI, USA. |
| Source: | Applied ergonomics [Appl Ergon] 2026 Jul; Vol. 134, pp. 104739. Date of Electronic Publication: 2026 Feb 04. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Butterworth-Heinemann Country of Publication: England NLM ID: 0261412 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-9126 (Electronic) Linking ISSN: 00036870 NLM ISO Abbreviation: Appl Ergon Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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