Kai Kunze spends much of his time researching Artificial intelligence, Computer vision, Activity recognition, Human–computer interaction and Wearable computer. His work in the fields of Artificial intelligence, such as Eye tracking, Object detection, Word error rate and Confusion matrix, overlaps with other areas such as Sample. His Computer vision research includes elements of Desk and Real-time computing.
His study in Activity recognition is interdisciplinary in nature, drawing from both Motion, Ubiquitous computing, Accelerometer, Mobile computing and Data set. His work focuses on many connections between Human–computer interaction and other disciplines, such as Knowledge acquisition, that overlap with his field of interest in Software deployment. His Wearable computer research is multidisciplinary, incorporating elements of Ambient intelligence and Gesture recognition.
His primary scientific interests are in Human–computer interaction, Artificial intelligence, Wearable computer, Computer vision and Multimedia. His work on Virtual reality as part of general Human–computer interaction study is frequently connected to Eyewear, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. Kai Kunze studied Virtual reality and Augmented reality that intersect with Usability.
Kai Kunze has included themes like Speech recognition and Natural language processing in his Artificial intelligence study. His Wearable computer study incorporates themes from Ubiquitous computing, Facial expression, Simulation and Gesture. His Face, Eye blink and Motion investigations are all subjects of Computer vision research.
Human–computer interaction, Virtual reality, Eyewear, Wearable computer and Multimedia are his primary areas of study. His Human–computer interaction study also includes fields such as
Kai Kunze incorporates a variety of subjects into his writings, including Eyewear, Electrooculography, Computer vision, Artificial intelligence, Conversation and Activity recognition. His primary area of study in Artificial intelligence is in the field of BitTorrent tracker. His work in Wearable computer addresses issues such as Gesture, which are connected to fields such as Finger movement.
His primary areas of investigation include Eyewear, Virtual reality, Human–computer interaction, Eye tracking and Artificial intelligence. Kai Kunze interconnects Augmented reality, Gaze, Interface, Immersion and Set in the investigation of issues within Virtual reality. His research investigates the connection with Human–computer interaction and areas like Haptic technology which intersect with concerns in Sensory substitution, Cybernetics and Rhythm.
Kai Kunze has researched Eye tracking in several fields, including Movement, Conversation and Electrooculography. His Artificial intelligence study frequently draws connections between adjacent fields such as Computer vision. Kai Kunze combines subjects such as Affective computing, Proprioception and Wearable computer with his study of Computer vision.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Dealing with sensor displacement in motion-based onbody activity recognition systems
Kai Kunze;Paul Lukowicz.
ubiquitous computing (2008)
Where am i: recognizing on-body positions of wearable sensors
Kai Kunze;Paul Lukowicz;Holger Junker;Gerhard Tröster.
location and context awareness (2005)
In the blink of an eye: combining head motion and eye blink frequency for activity recognition with Google Glass
Shoya Ishimaru;Kai Kunze;Koichi Kise;Jens Weppner.
augmented human international conference (2014)
Using Wearable Sensors for Real-Time Recognition Tasks in Games of Martial Arts - An Initial Experiment
E.A. Heinz;K.S. Kunze;M. Gruber;D. Bannach.
computational intelligence and games (2006)
Which Way Am I Facing: Inferring Horizontal Device Orientation from an Accelerometer Signal
Kai Kunze;Paul Lukowicz;Kurt Partridge;Bo Begole.
international symposium on wearable computers (2009)
OPPORTUNITY: Towards opportunistic activity and context recognition systems
Daniel Roggen;Kilian Forster;Alberto Calatroni;Thomas Holleczek.
world of wireless mobile and multimedia networks (2009)
I know what you are reading: recognition of document types using mobile eye tracking
Kai Kunze;Yuzuko Utsumi;Yuki Shiga;Koichi Kise.
international symposium on wearable computers (2013)
Sensor Placement Variations in Wearable Activity Recognition
Kai Kunze;Paul Lukowicz.
IEEE Pervasive Computing (2014)
Towards Recognizing Tai Chi - An Initial Experiment Using Wearable Sensors
Kai Kunze;Michael Barry;Ernst A. Heinz;Paul Lukowicz.
3rd International Forum on Applied Wearable Computing 2006, IFAWC 2006 (2006)
Making Regular Eyeglasses Smart
Oliver Amft;Florian Wahl;Shoya Ishimaru;Kai Kunze.
IEEE Pervasive Computing (2015)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:
German Research Centre for Artificial Intelligence
University of Tokyo
University of Erlangen-Nuremberg
University of Regensburg
Ludwig-Maximilians-Universität München
German Research Centre for Artificial Intelligence
University of Stuttgart
Georgia Institute of Technology
Karlsruhe Institute of Technology
University of Washington