Touché: enhancing touch interaction on humans, screens, liquids, and everyday objects

By M. Sato, Ivan Poupyrev, Chris Harrison. International Conference on Human Factors in Computing Systems, 2012

370 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Cognitive Neuroscience, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/47166b07f1660534795e9bb669203496e751edad

How researchers see this paper

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

In Biomedical Engineering

1. Chris Harrison
2. Yang Zhang
3. Otmar Hilliges

In Cognitive Neuroscience

1. Ivan Poupyrev
2. Chris Harrison
3. Yang Zhang
4. Jie Song

In Human-Computer Interaction

1. Ivan Poupyrev
2. Chris Harrison
3. Yang Zhang
4. Otmar Hilliges
5. Jie Song
6. J. Laviola
7. Marc Langheinrich

Citations in the corpus

• Tomo: Wearable, Low-Cost Electrical Impedance Tomography for Hand Gesture Recognition (2015, background): “In the research domain, Touché [19] recognizes complex configurations of human hands and objects based on the change of impedance by electrically exciting objects with a swept-frequency signal.”
• Interacting with Soli: Exploring Fine-Grained Dynamic Gesture Recognition in the Radio-Frequency Spectrum (2016, background): “, [11, 30, 26]) but recently CNNs have been successful in a variety of challenging tasks (e.”
• Instant inkjet circuits: lab-based inkjet printing to support rapid prototyping of UbiComp devices (2013, background): “A number of innovative touch sensing research projects in the literature such as DiamondTouch[7] and Touché [19] are based on this principle and instant inkjet printed electrodes are ideal for exploring this space further.”