Charles Gouin-Vallerand

Associate professor

Associated researcher at the DOMUS laboratory

Contact information


  • Post-doctorate in human-machine interaction, Carnegie Mellon University, USA (2012)
  • Ph D. in Computer Science in Cotutelle, Pierre and Marie Curie University, France, and Université de Sherbrooke, Canada (2011)
  • M. Sc. in Computer science, Université de Sherbrooke, Canada (2008)


  • Human-machine interaction / human-computer interaction
  • Context-aware computing and recognition of human activity
  • Augmented reality
  • Internet of things
  • Smart homes
  • Mobile computing


Charles Gouin-Vallerand is an associate professor (fr : professeur agrégé) in information technology at the Department of Information Systems and Quantitative Methods for Management at the Université de Sherbrooke in Sherbrooke, Québec, Canada.  Before, he was an associate professor in computer science at the Télé-Université du Québec (TÉLUQ) in Montreal (2012-2019) and earlier a postdoctoral fellow at the Human Computer Interaction Institute of Carnegie Mellon University (2011-2012).

Prof. Gouin-Vallerand’s expertises are in  human-computer interaction (Augmented Reality, Mobile Computing, Gerontechnologies), ubiquitous computing and context-aware systems. He is particularly interested by the utilization of the contextual information in smart environments like smart homes, smart cities and open smart spaces, to provides new ways to assist the users and recognize human activities. He is also interested in mixed and augmented reality technologies to support the tasks or daily activities in industrial and health scenarios (e.g. people with neurocognitive disorder).

Research program

Smart cities and houses, with their sensors and devices are good technological environments in which it is possible to deploy context-sensitive systems and where large amounts of information can be collected in order to support the recognition of activities and delivery of support services. The first axis of Prof. Gouin-Vallerand's research program is therefore to design strategies and algorithms to analyze contextual information and extract models or information such as current activities or habits. These strategies and algorithms must manage several constraints: the heterogeneity of the data, the limits of the material or the almost real-time analysis of the data. In his recent work, Prof. Gouin-Vallerand has developed activity recognition algorithms for urban mobile users based on hybrid systems. His research activities therefore include the continuation of this work on the recognition of human activity in urban areas, by widening the range of recognized activities (simple or complex activities), by recognizing multi-user activities and by widening the use of temporal logic.

The second axis of his research program includes interdisciplinary research in diffuse computing and human-machine interactions and is subdivided into two sub-objectives: (a) the design and evaluation of cognitive cognitive orthotics in augmented reality which take into account the current activity and the context of the users to better assist the users in their tasks and activities; (b) the design and evaluation of multimodal interaction techniques in augmented reality in order to allow the users to better interact with the cognitive orthotics proposed and to take into account the limitations of the users (e.g. physical or task-related). Providing cognitive and augmented reality task assistance involves several challenges from a human and technological point of view, such as 3D orientation and interaction, multimodal interactions, mental load, etc.


Here are some publications related to Prof. Gouin-Vallerand's expertise. :

Recognition of human activity and machine learning:
  • Henni K, Mezghani N, Gouin-vallerand C, Ruer P, Ouakrim Y, Vallières E F. (2018). Feature Selection for Driving Fatigue Characterization and Detection using Visual and Signal based Sensors. Springer Applied Informatics
  • Henni K, Mezghani M, Gouin-Vallerand C. (2018). Unsupervised Graph-based Feature Selection via Subspace and PageRank centrality. Elsevier Expert Systems with Applications.
  • Boukhechba, Mehdi; Bouzouane, Abdenour; Gaboury, Sébastien; Gouin-Vallerand, Charles; Giroux, Sylvain et Bouchard, Bruno (2018). Prediction of next destinations from irregular Patterns. Journal of Ambient Intelligence and Humanized Computing, 1-13.
  • Boukhechba, Mehdi, Bouzouane, Abdenour, Gaboury, Sébastien, Gouin-Vallerand, Charles, Giroux, Sylvain et Bouchard, Bruno (2017). A novel Bluetooth Low Energy Based System for Spatial Exploration in Smart Cities. Expert Systems with Applications, 77 (C), 71-82.
Human-machine interactions and augmented reality:
  • Brun D, Gouin-Vallerand C, George S. (2019). Keycube is a Kind of Keyboard (k3). Extended Abstract ACM CHI Conference on Human Factors in Computing Systems (CHI’19)
  • Brun D, Gouin-Vallerand C, George S. (2018). A Toolkit for Exploring Augmented Reality Through Construction with Children. IEEE. 20th Symposium on Virtual and Augmented Reality (SVR), Foz do Iguaçu, Brésil
  • Brun, Damien, Ferreira, Susan, Gouin-Vallerand, Charles et George, Sébastien (2017). A mobile platform for controlling and interacting with a Do-It-Yourself Smart Eyewear. International Journal of Pervasive Computing and Communications, 13 (1).
  • Gouin-Vallerand Charles, Abdulrazak Bessam, Giroux Sylvain and Dey Anind K. (2013). A context-aware service provision system for smart environments based on the user interaction modalities, Journal of Ambient Intelligence and Smart Environments, Vol. 5, Issue 1

For other publications, please consult Professor Gouin-Vallerand's page in the UdeS Specialist Directory.