What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Human–computer interaction
Chris Harrison focuses on Human–computer interaction, Mobile device, Gesture, Computer vision and Artificial intelligence.
In his research on the topic of Human–computer interaction, Tilt is strongly related with Wearable computer.
His Mobile device research is multidisciplinary, incorporating perspectives in Object, Tabletop computing, Point and Knuckle.
His Gesture study integrates concerns from other disciplines, such as Computer hardware, Surface and Simulation.
His work deals with themes such as Moving parts and Interactive displays, which intersect with Computer vision.
He has included themes like Stylus and Context menu in his Artificial intelligence study.
His most cited work include:
- TeslaTouch: electrovibration for touch surfaces (576 citations)
- Skinput: appropriating the body as an input surface (517 citations)
- OmniTouch: wearable multitouch interaction everywhere (476 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Human–computer interaction, Artificial intelligence, Computer vision, Mobile device and Multimedia.
His Human–computer interaction research incorporates elements of Interactivity and Gaze.
His Artificial intelligence research is multidisciplinary, incorporating elements of Signal, Surface, Knuckle and Touchpad.
In his research, Finger tracking is intimately related to Smartwatch, which falls under the overarching field of Computer vision.
His study on Mobile device also encompasses disciplines like
- Computer hardware that connect with fields like Capacitive sensing,
- Touchscreen together with Computer graphics.
The various areas that Chris Harrison examines in his Gesture study include Electrical impedance tomography and Wearable computer.
He most often published in these fields:
- Human–computer interaction (30.72%)
- Artificial intelligence (25.30%)
- Computer vision (24.70%)
What were the highlights of his more recent work (between 2017-2021)?
- Human–computer interaction (30.72%)
- Computer vision (24.70%)
- Artificial intelligence (25.30%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Human–computer interaction, Computer vision, Artificial intelligence, Smart environment and Activity recognition.
The Human–computer interaction study combines topics in areas such as Natural and Gaze.
In the subject of general Computer vision, his work in Gesture is often linked to Second finger, thereby combining diverse domains of study.
His work carried out in the field of Gesture brings together such families of science as Interactivity and Smartwatch.
Chris Harrison has researched Artificial intelligence in several fields, including Pipeline and Doppler radar.
His research investigates the connection between Wearable computer and topics such as Tracking that intersect with problems in Computer graphics.
Between 2017 and 2021, his most popular works were:
- Wall++: Room-Scale Interactive and Context-Aware Sensing (46 citations)
- Ubicoustics: Plug-and-Play Acoustic Activity Recognition (40 citations)
- EduSense: Practical Classroom Sensing at Scale (29 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer vision
- Electrical engineering
Chris Harrison mainly focuses on Human–computer interaction, Smart environment, Interactivity, Smartwatch and Activity recognition.
As part of his studies on Human–computer interaction, Chris Harrison frequently links adjacent subjects like Feedback loop.
His Interactivity research is multidisciplinary, incorporating perspectives in Pose and Multi-touch.
His studies deal with areas such as Finger tracking, Projection, Visibility and Graphics as well as Smartwatch.
He has included themes like Leverage and Sound in his Activity recognition study.
His study explores the link between Gesture and topics such as Face that cross with problems in Wearable computer.
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