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<p>Tactile perception modeling has been important research topic for years. However, due to individual differences and complexity of human cognition, the tactile perception modeling is challenging. One of the main challenges in this field is the lack of a rich dataset with sufficient inter-subject, inter-session, and intra-session diversities. Here, for the first time, we present a dataset of human position and intensity perception for 51 different vibration patterns. The dataset includes the experimental results for 40 individuals (20 female and 20 male) in two different sessions. The experimental results include the perceived intensity and position of each vibration pattern as well as selection time and confidence level. After each session the participants were also asked to fill a questionnaire file. We also collected the anthropometric and demographic data, and the participants underwent Bioelectrical Impedance Analysis (BIA)&#xa0;to measure body composition indicators. The detailed results for each participant is located in the dataset. This dataset can be used to develop tactile perception models, study individuals’ perception differences, and design tactile sensory feedback.</p>

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A Psychophysical Dataset for Vibrotactile Augmented Perception

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年2月18日

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  • Mostafa Hamidifard,
  • Samar Nikfarjad,
  • Hosein Pirmohammadi,
  • Rezvan Nasiri,
  • Majid Nili Ahmadabadi

摘要

Tactile perception modeling has been important research topic for years. However, due to individual differences and complexity of human cognition, the tactile perception modeling is challenging. One of the main challenges in this field is the lack of a rich dataset with sufficient inter-subject, inter-session, and intra-session diversities. Here, for the first time, we present a dataset of human position and intensity perception for 51 different vibration patterns. The dataset includes the experimental results for 40 individuals (20 female and 20 male) in two different sessions. The experimental results include the perceived intensity and position of each vibration pattern as well as selection time and confidence level. After each session the participants were also asked to fill a questionnaire file. We also collected the anthropometric and demographic data, and the participants underwent Bioelectrical Impedance Analysis (BIA) to measure body composition indicators. The detailed results for each participant is located in the dataset. This dataset can be used to develop tactile perception models, study individuals’ perception differences, and design tactile sensory feedback.