Monitoring human motion has recently received great attention and can be used in many applications, such as human motion prediction. We present the collected data set from a body sensor network attached to the human body. The set of sensors consists of accelerometers measuring acceleration in three directions that are attached to the upper and lower back as well as the knees and ankles. In addition, pressures on the insoles are measured with four pressure sensors inside each shoe. Two types of motion are considered: walking backwards on a straight line and walking forwards on a figure-8 path. Finally, we study and present basic statistics of the data
This paper proposes a novel method of estimating walking distance based on a precise counting of wal...
Human motion capture is used in various fields to analyse, understand and reproduce the diversity of...
Human gait dynamics were studied to aid the design of a robust personal navigation and tracking syst...
A full dataset of asymptomatic human gait and other movements including marker trajectories, inertia...
This paper reports on research to explore the potential for using electromyography (EMG) measurement...
Gait analysis plays an important role in characterizing individuals and each condition and gait anal...
The dataset contains tri-axial acceleration and gyroscope data (100 Hz sampling) from walks from 19 ...
The approach taken in the paper is to compare the features and limitations of motion trackers in com...
This research study proposes a multi-sensor data fusion technique to determine the complex interacti...
This research study proposes a multi-sensor data fusion technique to determine the complex interacti...
A person’s walking pattern can reveal important information about their health. Mounting multiple se...
Introduction and past research: In previous work we presented an algorithm for automatically identif...
This study presents an algorithm to estimate gait features, from on-body mounted inertial sensors, a...
A history is given of the experimental techniques used in gait analysis. There follows a description...
Abstract In this manuscript, we describe a unique dataset of human locomotion captured in a variety ...
This paper proposes a novel method of estimating walking distance based on a precise counting of wal...
Human motion capture is used in various fields to analyse, understand and reproduce the diversity of...
Human gait dynamics were studied to aid the design of a robust personal navigation and tracking syst...
A full dataset of asymptomatic human gait and other movements including marker trajectories, inertia...
This paper reports on research to explore the potential for using electromyography (EMG) measurement...
Gait analysis plays an important role in characterizing individuals and each condition and gait anal...
The dataset contains tri-axial acceleration and gyroscope data (100 Hz sampling) from walks from 19 ...
The approach taken in the paper is to compare the features and limitations of motion trackers in com...
This research study proposes a multi-sensor data fusion technique to determine the complex interacti...
This research study proposes a multi-sensor data fusion technique to determine the complex interacti...
A person’s walking pattern can reveal important information about their health. Mounting multiple se...
Introduction and past research: In previous work we presented an algorithm for automatically identif...
This study presents an algorithm to estimate gait features, from on-body mounted inertial sensors, a...
A history is given of the experimental techniques used in gait analysis. There follows a description...
Abstract In this manuscript, we describe a unique dataset of human locomotion captured in a variety ...
This paper proposes a novel method of estimating walking distance based on a precise counting of wal...
Human motion capture is used in various fields to analyse, understand and reproduce the diversity of...
Human gait dynamics were studied to aid the design of a robust personal navigation and tracking syst...