DipMe: Haptic Recognition of Granular Media for Tangible Interactive Applications
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Abstract (arXiv)
While tangible user interface has shown its power in naturally interacting with rigid or soft objects, users cannot conveniently use different types of granular materials as the interaction media. We introduce DipMe as a smart device to recognize the types of granular media in real time, which can be used to connect the granular materials in the physical world with various virtual content. Other than vision-based solutions, we propose a dip operation of our device and exploit the haptic signals to recognize different types of granular materials. With modern machine learning tools, we find the haptic signals from different granular media are distinguishable by DipMe. With the online granular object recognition, we build several tangible interactive applications, demonstrating the effects of DipMe in perceiving granular materials and its potential in developing a tangible user interface with granular objects as the new media.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 6 of its 60 references that are in the map. First posted on arXiv 13 Nov 2024.
Builds on
6 of 60 references.
References · 6
- 2017Attention Is All You Needcited by 59,932
- 2016Time Series Classification from Scratch with Deep Neural Networks: A Strong Baselinecited by 358
- 2020Benchmarking Multivariate Time Series Classification Algorithmscited by 145
- 2016Multi-Scale Convolutional Neural Networks for Time Series Classificationcited by 99
- 2021A Simple and Effective Positional Encoding for Transformerscited by 37
- 2020RTFN: A Robust Temporal Feature Network for Time Series Classificationcited by 11
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