University of Twente Student Theses
Distinguishing Cultural Backgrounds Through Social Touch Patterns : A Machine Learning Approach
Zhuang, Yixuan (2024) Distinguishing Cultural Backgrounds Through Social Touch Patterns : A Machine Learning Approach.
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| Abstract: | Touch is one of the most fundamental sensations in humans and the most basic action for interacting with others. In different cultural backgrounds, touch has different meanings. Additionally, social touch itself has various roles and functions. This study uses touch-sensitive patches to collect data on how people from different cultural backgrounds touch in various attention-seeking scenarios. To understand the details of social touch and distinguish the touches made by touchers from different cultural backgrounds, the collected data will be utilized to train models using machine learning for time series such as RF or LSTM, which could be used for potential future applications. |
| Item Type: | Essay (Bachelor) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 54 computer science |
| Programme: | Computer Science BSc (56964) |
| Link to this item: | https://purl.utwente.nl/essays/100792 |
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