OmniTouch: wearable multitouch interaction everywhere

By Chris Harrison, Hrvoje Benko, Andrew D. Wilson. ACM Symposium on User Interface Software and Technology, 2011

659 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/ac89f9afcf8dbd9903a37b1c8764983a744dac57

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. J. Laviola
2. Chris Harrison
3. Hrvoje Benko
4. Andrew D. Wilson
5. Ivan Poupyrev
6. Patrick Baudisch

In Human-Computer Interaction

1. J. Laviola
2. Chris Harrison
3. Hrvoje Benko
4. Andrew D. Wilson
5. Ivan Poupyrev
6. Shahram Izadi
7. Eyal Ofek
8. Otmar Hilliges

Citations in the corpus

• Touché: enhancing touch interaction on humans, screens, liquids, and everyday objects (2012, background): “Research has attempted to overcome these challenges by exploring remote sensing approaches, including bio-acoustics [17], EMG [33] and computer vision [15], each of which has its own distinct set of advantages and drawbacks.”
• Digits: freehand 3D interactions anywhere using a wrist-worn gloveless sensor (2012, background): “For example, gestures can be conducted in front of the body (much like other body-worn systems [11, 26, 35]).”
• RoomAlive: magical experiences enabled by scalable, adaptive projector-camera units (2014, background): “Previous work has explored SAR in mobile form factors [14,31,41], steerable projector systems [27,42], and even for novel gaming experiences: e.g. racing a car across a desktop [6], playing chess [44], or playing miniature golf on top of wooden blocks [19].”
• A Survey of Augmented Reality (2015, neutral): “, 2009], there is also various research on wearing the device on di erent parts of the body such as on the chest [Mistry and Maes, 2009], shoulder [Harrison et al., 2011], or on a wrist [Blasko et al.”
• iSkin: Flexible, Stretchable and Visually Customizable On-Body Touch Sensors for Mobile Computing (2015, neutral): “One is camera-based sensing, with RGB cameras [20, 36] or depth cameras [3, 8, 9, 21].”
• 3D Gestural Interaction: The State of the Field (2013, background): “[23], uses a set of sensors worn as an armband to detect acoustical signals transmitted through the skin [18].”