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University of Manitoba | Technologies numériques

Principales installations

Human-Computer Interaction Lab is committed to exploring new and innovative research areas in human-computer interaction. The lab also provides software usability testing services for industry companies.

Grands projets

Understanding Humans in Images and Videos focuses on enabling machines to recognize human pose estimation and be able to recognize the actions of a person from a video sequence. This will enable numerous applications in various fields, e.g., security, surveillance, entertainment, human computer interaction, bio-mechanics, etc.

SoundCraft: Enabling Spatial Interactions on smartwatches using hand generated accoustics this research has resulted in the development of a smartwatch prototype embedded with a microphone array, that localizes angularly, in azimuth and elevation, acoustic signatures: non-vocal acoustics that are produced using the hands. This device enables a rich set of spatial interaction techniques, including quick access to smartwatch content, rapid command invocation, in-situ sketching, and also multi-user around device interaction.


  • Yang Wang, Associate Professor, Department of Computer Science. Research focuses computer vision and machine learning. His research involves developing algorithms that automatically understand images and videos, including image classification, object detection, human action recognition and image segmentation.
  • Pourang Irani, Canada Research Chair. Research focuses on human-computer interaction and information visualization. Designing and implementing innovative tools that give users access to diverse information types and through a variety of computing devices.
  • Parimala Thulasiraman, Professor, Department of Computer Science. Research interests are in the intersection of high performance computing and graph analytics for real world applications in Network Science. She explores novel algorithmic optimization techniques for these problems to efficiently map, design, and develop scalable algorithms for futuristic multicore architectures.

Programmes spéciaux et apprentissage intégré au travail

Autonomous Agents Laboratory’s goal is the improvement of technology surrounding hardware and software agents as well as the development of applications employing these technologies. They are especially interested in cooperation in multi-agent settings, and the infrastructure necessary to support this and other forms of social interaction in intelligent systems.


  • Microsoft Research
  • Autodesk Research
  • Epson
  • NGrain
  • Convergent/ Boeing
  • Honda Research
  • VIA Technologies
  • Intel
  • Sightline Technologies
  • Tactica

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