Abstract
We describe a novel approach to developing a gesture recognition system that accommodates the adaptability and low training requirements of interactive educational simulation environments. Hidden Markov Models allow us to make robust representations of learners' movement in real time, and adapt to their personal style of enacting simulation operations. The context is a project in which gesture-controlled simulations are being built to facilitate the use of crosscutting concepts (e.g., scale and magnitude) across science topics.
| Original language | English (US) |
|---|---|
| Title of host publication | 12th International Conference of the Learning Sciences, ICLS 2016 |
| Subtitle of host publication | Transforming Learning, Empowering Learners, Proceedings |
| Editors | Chee-Kit Looi, Joseph L. Polman, Peter Reimann, Ulrike Cress |
| Publisher | International Society of the Learning Sciences (ISLS) |
| Pages | 1271-1272 |
| Number of pages | 2 |
| Volume | 2 |
| ISBN (Electronic) | 9780990355083 |
| State | Published - 2016 |
| Event | 12th International Conference of the Learning Sciences: Transforming Learning, Empowering Learners, ICLS 2016 - Singapore, Singapore Duration: Jun 20 2016 → Jun 24 2016 |
Other
| Other | 12th International Conference of the Learning Sciences: Transforming Learning, Empowering Learners, ICLS 2016 |
|---|---|
| Country/Territory | Singapore |
| City | Singapore |
| Period | 6/20/16 → 6/24/16 |
Keywords
- Embodied learning
- Hierarchal hidden markov models
- Learning gestures
- Motion sensors
- Quantitative reasoning
- Scale
- Simulation
ASJC Scopus subject areas
- Computer Science (miscellaneous)
- Education