Proactive Sensing for Improving Hand Pose Estimation
| Autor: | Zoran Popović, Dun-Yu Hsiao, Seth Cooper, Christy Ballweber, Min Sun |
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| Rok vydání: | 2016 |
| Předmět: |
Scheme (programming language)
Ground truth Computer science business.industry 05 social sciences 02 engineering and technology 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing 0501 psychology and cognitive sciences Computer vision Artificial intelligence business computer Pose 050107 human factors computer.programming_language |
| Zdroj: | CHI |
| DOI: | 10.1145/2858036.2858587 |
| Popis: | We propose a novel sensing technique called proactive sensing. Proactive sensing continually repositions a camera-based sensor as a way to improve hand pose estimation. Our core contribution is a scheme that effectively learns how to move the sensor to improve pose estimation confidence while requiring no ground truth hand poses. We demonstrate this concept using a low-cost rapid swing arm system built around the state-of-the-art commercial sensing system Leap Motion. The results from our user study show that proactive sensing helps estimate users' hand poses with higher confidence compared to both static and random sensing. We further present an online model update to improve performance for each user. |
| Databáze: | OpenAIRE |
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