Due to importantly beneficial effects on physical and mental health and strong association
with many rehabilitation programs, Physical Activity Recognition and Monitoring (PARM) …

This paper presents an overview of state-of-the-art methods in activity recognition using
semantic features. Unlike low-level features, semantic features describe inherent …

Research on sensor-based activity recognition has, recently, made significant progress and
is attracting growing attention in a number of disciplines and application domains. However …

We present a novel dataset and novel algorithms for the problem of detecting activities of
daily living (ADL) in firstperson camera views. We have collected a dataset of 1 million …

This paper introduces a publicly available dataset of complex activities that involve
manipulative gestures. The dataset captures people preparing mixed salads and contains …

This paper exploits the context of natural dynamic scenes for human action recognition in
video. Human actions are frequently constrained by the purpose and the physical properties …

Being able to detect and recognize human activities is essential for several applications,
including personal assistive robotics. In this paper, we perform detection and recognition of …

This paper addresses the problem of learning object models from egocentric video of
household activities, using extremely weak supervision. For each activity sequence, we …

We present a probabilistic generative model for simultaneously recognizing daily actions
and predicting gaze locations in videos recorded from an egocentric camera. We focus on …

We present a method to analyze daily activities, such as meal preparation, using video from
an egocentric camera. Our method performs inference about activities, actions, hands, and …