Abstract
Some textures invite human touch motions in daily life, but studies on the methodology of designing such textures have just been initiated [1,2,3]. However, there is still no method of identifying various touch motions invited by these textures. For example, some textures are likely to invite stroking, while others are likely to invite pushing. We developed a Bayesian network model that represents the probabilistic relationships between texture-invited touch motions and properties of textures. We interpreted the constructed model and confirmed that the model is potentially useful for the estimation of human motions.
Original language | English |
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Pages (from-to) | 338-348 |
Number of pages | 11 |
Journal | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Volume | 7282 LNCS |
Issue number | PART 1 |
DOIs | |
Publication status | Published - 2012 |
Event | International Conference on Haptics: Perception, Devices, Mobility, and Communication, EuroHaptics 2012 - Tampere, Finland Duration: 2012 Jun 13 → 2012 Jun 15 |
Keywords
- Bayesian Network
- Stochastic Reasoning
ASJC Scopus subject areas
- Theoretical Computer Science
- Computer Science(all)