Finexus
Autor: | Sean Jason Keller, Ke-Yu Chen, Shwetak N. Patel |
---|---|
Rok vydání: | 2016 |
Předmět: |
Electromagnet
Computer science business.industry Track (disk drive) 05 social sciences 020207 software engineering Input device Tracking system 02 engineering and technology Virtual reality Tracking (particle physics) law.invention Band-pass filter law 0202 electrical engineering electronic engineering information engineering 0501 psychology and cognitive sciences Computer vision Artificial intelligence Noise (video) business 050107 human factors Simulation |
Zdroj: | CHI |
Popis: | With the resurgence of head-mounted displays for virtual reality, users need new input devices that can accurately track their hands and fingers in motion. We introduce Finexus, a multipoint tracking system using magnetic field sensing. By instrumenting the fingertips with electromagnets, the system can track fine fingertip movements in real time using only four magnetic sensors. To keep the system robust to noise, we operate each electromagnet at a different frequency and leverage bandpass filters to distinguish signals attributed to individual sensing points. We develop a novel algorithm to efficiently calculate the 3D positions of multiple electromagnets from corresponding field strengths. In our evaluation, we report an average accuracy of 1.33 mm, as compared to results from an optical tracker. Our real-time implementation shows Finexus is applicable to a wide variety of human input tasks, such as writing in the air. |
Databáze: | OpenAIRE |
Externí odkaz: |