If you are interested in the research of activity recognition, I have compiled a list of essential journals which will get you started. The list is focusing on sensor-based activity recognition. This is by no means an exhaustive list but it gives an indication of the researches taking place. The main review paper [1] for […]
Month: October 2016
Adaptive Sliding Window for Physical Activity Recognition
A sliding window with a fixed size is not an effective approach for activity recognition system. Misclassifications could still happen especially for transitional activities. This is due to the fact that the length of transitional activity signals varies depending on the time to complete the activity [1], [2]. To overcome the problem, the window size […]
Enhancing ontological reasoning with uncertainty handling for activity recognition
Handling uncertainty is a challenge in activity recognition. Uncertainty can be due to sensor errors (e.g. run out of batteries, imprecise outputs, missing activations etc.) and communication failures. and variability in human activities. These issues may significantly influence the accuracy of activity recognition. Data-driven approaches use machine learning techniques such as Decision Tree, naïve Bayes […]