Projects per year
Abstract
Augmenting arbitrary physical objects with digital content leads to the missing interface problem, because those objects were never designed to incorporate such digital content and so they lack a user interface. A review of related work reveals that current approaches fail due to limited detection fidelity and spatial resolution. Our proposal, based on Google Soli's radar sensing technology, is designed to detect micro-gestures on objects with sub-millimeter precision. Preliminary results with a custom gesture set show that Soli's core features and traditional machine learning models (Random Forest and Support Vector Machine) do not lead to robust recognition accuracy, and so more advanced techniques should be used instead, possibly incorporating additional sensor features.
Original language | English |
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DOIs | |
Publication status | Published - 2 May 2019 |
MoE publication type | Not Eligible |
Event | ACM SIGCHI Annual Conference on Human Factors in Computing Systems - Glasgow, United Kingdom Duration: 4 May 2019 → 9 May 2019 https://chi2019.acm.org/ |
Conference
Conference | ACM SIGCHI Annual Conference on Human Factors in Computing Systems |
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Abbreviated title | ACM CHI |
Country | United Kingdom |
City | Glasgow |
Period | 04/05/2019 → 09/05/2019 |
Internet address |
Keywords
- Augmented Reality
- Google Soli
- Micro-gesture Recognition
- Millimeter-wave Radar
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Projects
- 1 Active
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Department of Communications and Networking
Oulasvirta, A., Laine, M., Todi, K., Dayama, N. & Nioche, A.
01/09/2018 → 31/08/2022
Project: Academy of Finland: Other research funding