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Application of hidden Markov models to eye tracking data analysis of visual quality inspection operations
2019
Central European Journal of Operations Research
Visual inspection is used in many areas due to the potential high costs of inspection error such as injury, fatality, loss of expensive equipment, scrapped items, rework, or failure to procure repeat business. This study presents an application of hidden Markov models (HMM) to fixations' sequences analysis during visual inspection of front panels in a home appliance facility. The eye tracking data are gathered when quality control operators perform their tasks. The results support the
doi:10.1007/s10100-019-00628-x
fatcat:x2wmeqkzlzhljfvzu3ipxaut7i