Difference between revisions of "Gait events"
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'''''NOTE: The data should consist of ONLY walking and running segments of the signal. Segments corresponding to inactivity or any other activity should be removed from the signals prior to data submission.''''' | '''''NOTE: The data should consist of ONLY walking and running segments of the signal. Segments corresponding to inactivity or any other activity should be removed from the signals prior to data submission.''''' | ||
| − | == MAREA Gait Database == | + | == MAREA ('''M'''ovement '''A'''nalysis in '''R'''eal-world '''E'''nvironments using '''A'''ccelerometers) Gait Database == |
| − | The '''MAREA''' | + | The '''MAREA''' gait database comprises of walking and running in different real-world environments. |
[[File:sensorPos_front.png|left,top|thumb|caption|"Figure 1: Position and orientation of each accelerometer at the beginning of each experiment. The accelerometer at the right ankle is attached arbitrarily without any pre-defined orientation. The FSRs are instrumented into the shoe soles to collect the ground truth. The data from all sensors is sampled at a frequency of 128 Hz."]] | [[File:sensorPos_front.png|left,top|thumb|caption|"Figure 1: Position and orientation of each accelerometer at the beginning of each experiment. The accelerometer at the right ankle is attached arbitrarily without any pre-defined orientation. The FSRs are instrumented into the shoe soles to collect the ground truth. The data from all sensors is sampled at a frequency of 128 Hz."]] | ||
Revision as of 11:02, 18 May 2016
Gait Event Detection in Real-World Environment for Long-Term Applications
This is a placeholder for an automated service that will provide temporal estimation of gait events from accelerometer signals. The service would take accelerometer data (in the specified format) as input and provide the estimated events as output.
Until this service is implemented, please send your data in the specified format to siddhartha.khandelwal@hh.se and nicholas.wickstrom@hh.se.
Specifications
Activities: Walking and running
Placement of 3-axis Accelerometer: Anywhere around the ankle in any orientation.
Sensitivity of the Accelerometer: (+-) 4g or more. Please specify. Please also check if the accelerometer signal has saturated during intense activity such as running.
Sampling Frequency: Preferred - 128 Hz [A Sampling frequency of 50Hz and above is acceptable. Please specify.]
Input data: AccX, AccY, AccZ [Accelerometer signals from the X, Y and Z axes, respectively.]
Input data format: abc.mat or abc.csv [Data in Matlab format or comma separated text file.]
NOTE: The data should consist of ONLY walking and running segments of the signal. Segments corresponding to inactivity or any other activity should be removed from the signals prior to data submission.
MAREA (Movement Analysis in Real-world Environments using Accelerometers) Gait Database
The MAREA gait database comprises of walking and running in different real-world environments.
| Subjects | Environment | Activity | Speed | Duration | Short Description |
|---|---|---|---|---|---|
| 11 | Treadmill (flat) | Walk & run | 4 - 8km/hr; increasing in steps
of 0.4km/hr every minute |
10 min | Start walking and switch to
running at self-selected speed |
| Treadmill (slope) | Walk | Self-selected | 12 min | Treadmill is set to (5, 0, 10, 0, 15, 0)
inclinations with 2 mins at each angle | |
| Indoor flat space | Walk & run | Self-selected | 6 min | Start walking and switch
to running after 3 mins | |
| 9 | Outdoor street | Walk & run | Self-selected | 6 min | Start walking and switch
to running after 3 mins |
