5 citations · 8 across the 3 of their papers we have counts for
5 papers
Become the Beast: Exploring Human-Quadruped Locomotion for Exergames
Shamit Ahmed, Prabhav Bhatnagar, Perttu Hämäläinen
Embodying non-human characters and exercising abdominal muscles are both underexplored in exergames. We address this by describing the design and evaluation of a novel human quadru…
Discovering Fatigued Movements for Virtual Character Animation
Noshaba Cheema, Rui Xu, Nam Hee Kim +5
Virtual character animation and movement synthesis have advanced rapidly during recent years, especially through a combination of extensive motion capture datasets and machine lear…
Personalized Game Difficulty Prediction Using Factorization Machines
Jeppe Theiss Kristensen, Christian Guckelsberger, Paolo Burelli +1
The accurate and personalized estimation of task difficulty provides many opportunities for optimizing user experience. However, user diversity makes such difficulty estimation har…
Learning Task-Agnostic Action Spaces for Movement Optimization
Amin Babadi, Michiel van de Panne, C. Karen Liu +1
We propose a novel method for exploring the dynamics of physically based animated characters, and learning a task-agnostic action space that makes movement optimization easier. Lik…
Visualizing Movement Control Optimization Landscapes
Perttu Hämäläinen, Juuso Toikka, Amin Babadi +1
A large body of animation research focuses on optimization of movement control, either as action sequences or policy parameters. However, as closed-form expressions of the objectiv…