Fingerprint Fingerprint is based on mining the text of the expert's scholarly documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 30 Similar Profiles
learning Social Sciences
Students Engineering & Materials Science
student Social Sciences
science Social Sciences
simulation Social Sciences
video Social Sciences
research Social Sciences
technology Social Sciences

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Research Output 2006 2017

Novelty
User experience
Software
Students
Evaluation

Gestural Interactions of Embodied Educational Technology Using One-Shot Machine Learning

Junokas, M. J., Kohlburn, G., Lane, B., Kumar, S., Fu, W. T. & Lindgren, R. Jun 28 2017 Proceedings - 12th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2017 - 1st International Workshop on Adaptive Shot Learning for Gesture Understanding and Production, ASL4GUP 2017, Biometrics in the Wild, Bwild 2017, Heterogeneous Face Recognition, HFR 2017, Joint Challenge on Dominant and Complementary Emotion Recognition Using Micro Emotion Features and Head-Pose Estimation, DCER and HPE 2017 and 3rd Facial Expression Recognition and Analysis Challenge, FERA 2017. Institute of Electrical and Electronics Engineers Inc., p. 996 1 p. 7961855

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Learning systems
Educational technology
Students

Using one-shot machine learning to implement real-time multimodal learning analytics

Junokas, M. J., Kohlburn, G., Kumar, S., Lane, B., Fu, W. T. & Lindgren, R. 2017 In : CEUR Workshop Proceedings. 1828, p. 89-93 5 p.

Research output: Contribution to journalArticle

Learning systems
Educational technology
Semiotics
Gesture recognition
Hidden Markov models

Designing for Learning Conversations: How Parents Support Children's Science Learning Within an Immersive Simulation

Tscholl, M. & Lindgren, R. Sep 1 2016 In : Science Education. 100, 5, p. 877-902 26 p.

Research output: Contribution to journalArticle

child
Simulation
Physical
science
environment

Developing gesture recognition capabilities for interactive learning systems: Personalizing the learning experience with advanced algorithms

Junokas, M., Linares, N. & Lindgren, R. 2016 12th International Conference of the Learning Sciences, ICLS 2016: Transforming Learning, Empowering Learners, Proceedings. International Society of the Learning Sciences (ISLS), Vol. 2, p. 1271-1272 2 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

gesture
simulation
Gesture recognition
learning
system