This repository is the reproducibility package for the "Analysis and Impact of Training Set Size in Cross-Subject Human Activity Recognition" conference paper. It contains all the data and code used for data processing and analysis, along with the software dependencies used. It includes a Dockerfile to build an environment (using Docker or Binder) satisfying all the requirements to reproduce the processes and analyses.The documents in this repository are licensed under a Creative Commons Attribution 4.0 International License. All contained code is licensed under the Apache License 2.0. The data used is licensed under a Open Data Commons Attribution License
Data and code for analysis, charts and tables used in the manuscript "Smartphone apps for the treatm...
This report documents the program and the outcomes of Dagstuhl Seminar 12492 "Human Activity Recogni...
Automatic analysis of human behaviour in large collections of videos is gaining interest, even more ...
This repository is the reproducibility package for the paper "Analysis and Impact of Training Set Si...
This repository is the reproducibility package for the paper "Temporal Stability on Human Activity R...
This repository is the reproducibility package for the journal paper "Implementing and evaluating th...
Activity recognition has emerged as a challenging and high-impact research field, as over the past y...
Abstract In this article, it is studied how well inertial sensor-based human activity recognition mo...
Data and code for analysis and plots used in the manuscript "Reproducible research and GIScience: an...
Human activity recognition (AR) has begun to mature as a field, but for AR research to thrive, large...
Data and code for analysis, charts and tables used in the manuscript "Smartphone apps for the treatm...
Data and code for research article Reproducible Research and GIScience: an evaluation using GIScienc...
Data and code for analysis, charts and tables used in the manuscript "A scoping review on the use, p...
Need datasets to benchmark different aspects of algorithms Need a common ground for researchers to ...
Human activity recognition is an important area of research in today’s complex world as it can be ap...
Data and code for analysis, charts and tables used in the manuscript "Smartphone apps for the treatm...
This report documents the program and the outcomes of Dagstuhl Seminar 12492 "Human Activity Recogni...
Automatic analysis of human behaviour in large collections of videos is gaining interest, even more ...
This repository is the reproducibility package for the paper "Analysis and Impact of Training Set Si...
This repository is the reproducibility package for the paper "Temporal Stability on Human Activity R...
This repository is the reproducibility package for the journal paper "Implementing and evaluating th...
Activity recognition has emerged as a challenging and high-impact research field, as over the past y...
Abstract In this article, it is studied how well inertial sensor-based human activity recognition mo...
Data and code for analysis and plots used in the manuscript "Reproducible research and GIScience: an...
Human activity recognition (AR) has begun to mature as a field, but for AR research to thrive, large...
Data and code for analysis, charts and tables used in the manuscript "Smartphone apps for the treatm...
Data and code for research article Reproducible Research and GIScience: an evaluation using GIScienc...
Data and code for analysis, charts and tables used in the manuscript "A scoping review on the use, p...
Need datasets to benchmark different aspects of algorithms Need a common ground for researchers to ...
Human activity recognition is an important area of research in today’s complex world as it can be ap...
Data and code for analysis, charts and tables used in the manuscript "Smartphone apps for the treatm...
This report documents the program and the outcomes of Dagstuhl Seminar 12492 "Human Activity Recogni...
Automatic analysis of human behaviour in large collections of videos is gaining interest, even more ...