Search Results for author:
Found 4 papers, 0 papers with code
Generic Semi-Supervised Adversarial Subject Translation for Sensor-Based Human Activity Recognition
The performance of Human Activity Recognition (HAR) models, particularly deep neural networks, is highly contingent upon the availability of the massive amount of annotated training data which should be sufficiently labeled.
An Event Calculus Production Rule System for Reasoning in Dynamic and Uncertain Domains
Action languages have emerged as an important field of Knowledge Representation for reasoning about change and causality in dynamic domains.
An Unsupervised Approach for Automatic Activity Recognition based on Hidden Markov Model Regression
This paper presents a new unsupervised approach for human activity recognition from raw acceleration data measured using inertial wearable sensors.
Joint segmentation of multivariate time series with hidden process regression for human activity recognition
The problem of human activity recognition is central for understanding and predicting the human behavior, in particular in a prospective of assistive services to humans, such as health monitoring, well being, security, etc.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
