CTRL-Labs
| Autor: | Mason Remaley, Michael Astolfi, Adam Berenzweig, Tudor Giurgica-Tiron, Edward F. Melcer |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Computer science
business.industry 05 social sciences 020207 software engineering 02 engineering and technology Visualization Real-time Control System 0202 electrical engineering electronic engineering information engineering 0501 psychology and cognitive sciences Computer vision Artificial intelligence business Rotation (mathematics) Neuromuscular activity 050107 human factors |
| Zdroj: | CHI Extended Abstracts |
| DOI: | 10.1145/3170427.3186520 |
| Popis: | CTRL-Labs has developed algorithms for determination of hand movements and forces and real-time control from neuromuscular signals. This technology enables users to create their own control schemes at run-time -- dynamically mapping neuromuscular activity to continuous (real-valued) and discrete (categorical/integer-valued) machine-input signals. To demonstrate the potential of this approach to enable novel interactions, we have built three example applications. One displays an ongoing visualization of the current posture/rotation of the hand and each finger as determined from neuromuscular signals. The other two showcase dynamic mapping of neuromuscular signals to continuous and discrete input controls for a two-player competitive target acquisition game and a single-player space shooter game. |
| Databáze: | OpenAIRE |
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