We present the results of using Hidden Markov Models (HMMs) for automatic segmentation and recognition of user motions. Previous work on recognition of user intent with man/machin...
C. Sean Hundtofte, Gregory D. Hager, Allison M. Ok...
Smart homes have a user centered design that makes human activity as the most important type of context to adapt the environment according to people's needs. Sensor systems th...
Atif Manzoor, Claudia Villalonga, Alberto Calatron...
This work presents the design and evaluation of an activity recognition system for seven important motion related activities. The only sensor used is an Inertial Measurement Unit ...
Korbinian Frank, Maria Josefa Vera Nadales, Patric...
Action recognition is an important and challenging topic in computer vision, with many important applications including video surveillance, automated cinematography and understand...
Although the mechanisms of human visual understanding remain partially unclear, computational models inspired by existing knowledge on human vision have emerged and applied to seve...
Konstantinos Rapantzikos, Yannis S. Avrithis, Stef...