Advances in Human Activity Recognition

Recent Advances in EMG Pattern Recognition for Prosthetic Control

Advances in Human Action Recognition: A Survey

Human action recognition has been an important topic in computer vision due to its many applications such as video surveillance, human machine interaction and video retrieval. One core problem behind these applications is automatically recognizing low-level actions and high-level activities of interest. The former is usually the basis for the latter. This survey gives an overview of the most re...

Human Activity Recognition in Videos

Our project deals with the problem of classifying real-world videos by human activity. Such videos usually have a large variation in background and camera motion. This makes the performance of models using low-level appearance and motion features unsatisfactory, particularly in the case of video classes sharing similar objects and background (e.g. ”snatch” and ”clean-jerk” weightlifting actions...

A New Ontology-Based Approach for Human Activity Recognition from GPS Data

Mobile technologies have deployed a variety of Internet–based services via location based services. The adoption of these services by users has led to mammoth amounts of trajectory data. To use these services effectively, analysis of these kinds of data across different application domains is required in order to identify the activities that users might need to do in different places. Researche...

Advances in Pattern Recognition