FingerIO: Using Active Sonar for Fine-Grained Finger Tracking

By R. Nandakumar, Vikram Iyer, Desney S. Tan, Shyamnath Gollakota. International Conference on Human Factors in Computing Systems, 2016

419 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Electrical and Electronic Engineering, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/c462fe798839d7e1606c2ae966631f8f9c780222

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

1. Ke Sun
2. Alex X. Liu
3. Wen Wang

In Electrical and Electronic Engineering

1. Alex X. Liu
2. Wen Wang
3. Ke Sun
4. Gang Zhou

In Human-Computer Interaction

1. Ke Sun
2. Alex X. Liu
3. Wen Wang

Citations in the corpus

• Device-free gesture tracking using acoustic signals (2016, methodology): “They proposed fingerIO, which uses OFDM modulated sound to locate the fingers with accuracy of 8 mm [5].”