Human activity recognition (AR) has begun to mature as a field, but for AR research to thrive, large, diverse, high quality, AR data sets must be publically available and AR methodology must be clearly documented and standardized. In the process of comparing our AR research to other efforts, however, we found that most AR data sets are sufficiently limited as to impact the reliability of existing research results, and that many AR research papers do not clearly document their experimental methodology and often make unrealistic assumptions. In this paper we outline problems and limitations with AR data sets and describe the methodology problems we noticed, in the hope that this will lead to the creation of improved and bette
Human Activity Recognition has recently attracted considerable attention. This has been triggered by...
This paper proposes a data-driven method for constructing materials to be used in a probabilistic kn...
The rapid development of sensor technology in smartphone and wearable devices has led research to th...
Abstract—In this paper we discuss the current situation of the activity recognition research field. ...
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...
Activity recognition and activity pattern discovery hold significant promise to enabling many applic...
In the last few decades, life expectancy has been increasing. This has resulted in a higher proporti...
Evaluating human activity recognition systems usually implies following expensive and time-consuming...
The goal of this project is to study the performance of Machine Learning (ML) techniques used in Hum...
Abstract—Activity recognition using ubiquitous sensors evolved tremendously during the last decade. ...
Abstract—Human activity recognition is a basic building block in numerous healthcare systems, mainly...
Evaluating human activity recognition systems usually implies following expensive and time consuming...
A classical activity theory has for long been established as a de-facto framework on which many huma...
HAR (Human Activity Recognition) system becomes complex, inefficient and less accurate as we keep on...
Human Activity Recognition has recently attracted considerable attention. This has been triggered by...
This paper proposes a data-driven method for constructing materials to be used in a probabilistic kn...
The rapid development of sensor technology in smartphone and wearable devices has led research to th...
Abstract—In this paper we discuss the current situation of the activity recognition research field. ...
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...
Activity recognition and activity pattern discovery hold significant promise to enabling many applic...
In the last few decades, life expectancy has been increasing. This has resulted in a higher proporti...
Evaluating human activity recognition systems usually implies following expensive and time-consuming...
The goal of this project is to study the performance of Machine Learning (ML) techniques used in Hum...
Abstract—Activity recognition using ubiquitous sensors evolved tremendously during the last decade. ...
Abstract—Human activity recognition is a basic building block in numerous healthcare systems, mainly...
Evaluating human activity recognition systems usually implies following expensive and time consuming...
A classical activity theory has for long been established as a de-facto framework on which many huma...
HAR (Human Activity Recognition) system becomes complex, inefficient and less accurate as we keep on...
Human Activity Recognition has recently attracted considerable attention. This has been triggered by...
This paper proposes a data-driven method for constructing materials to be used in a probabilistic kn...
The rapid development of sensor technology in smartphone and wearable devices has led research to th...