Gait database
MAREA (Movement Analysis in Real-world Environments using Accelerometers) Gait Database
The MAREA gait database comprises of gait activities in different real-world environments as shown in the table below. 20 healthy adults (12 males and 8 females, average age: 33.4 +- 7 years, average weight: 73.2 +- 10.9 kg, average height: 172.6 +- 9.5 cm) participated in the study that was approved by the Ethical Review Board of Lund, Sweden. Each subject had a 3-axes Shimmer3 (Shimmer Research, Dublin, Ireland) accelerometer (+- 8g) attached to their waist, left wrist and left and right ankles using elastic bands and velcro straps. Figure 1 shows the position and orientation of each accelerometer at the beginning of each experiment. The X and Y axes of the accelerometer positioned on the waist and the Y and Z axes of the accelerometers positioned on the left wrist and left ankle were aligned with the sagittal and transverse planes, respectively. The accelerometer on the right ankle was casually attached without any predefined alignment to simulate a daily life scenario. The subjects were provided shoes that were instrumented with piezo-electric force sensitive resistors (FSRs), fixed at the extreme ends of the sole in order to provide the ground truth values for HS and TO. The data from accelerometer and FSRs was sampled at a frequency of 128Hz, and the FSR output was stored locally on the Shimmer3 microSD card using an external expansion board.
The accelerometer signals obtained from different body locations were synchronized manually. Timings of the switch from walking to running were noted down during the experiments, in order to segregate the dataset into walking and running segments.
| Subjects | Environment | Activity | Speed | Duration | Short Description |
|---|---|---|---|---|---|
| 11 | Treadmill (flat) | Walk & run | 4km/hr - 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) degree
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 |
There are two matrices provided, namely, Indoor Experiment timings and Outdoor Experiment timings which contain the timing information of the activities and are included in a folder called Activity Timings.zip (download link below):
- Indoor Experiment Timings: This 11(rows) x 8(columns) matrix consists of sample numbers corresponding to the start and end of an activity, for a given subject, for the Indoor Experiments, i.e.
- Treadmill (flat)
- Treadmill (slope)
- Indoor flat space.
The figure below explains how to extract the sample nos. corresponding to an activity for a given subject, from the Indoor Experiment timings matrix.
- Outdoor Experiment Timings: This 9(rows) x 3(columns) matrix consists of sample numbers corresponding to the start and end of an activity, for a given subject, for the Outdoor Street Experiments. The figure below explains how to extract the sample nos. corresponding to an activity for a given subject, from the Outdoor Experiment timings matrix.
The Subject data files are provided in two formats, namely, .mat format (Subject Data_mat format.zip) and .txt format Subject Data_txt format).zip. The naming convention of the files is: Sub<number>_<position>, where:
- <number>: stands for Subject number and ranges from 1 to 20.
- <position>: stands for the position of the accelerometer on the body as shown in Figure 1. The positions are:
- LF - Left Ankle
- RF - Right Ankle
- Wrist
- Waist
For each Subject file, eg. Sub5_RF, the accelerometer data from the 3 axis accelerometer is stored in 3 columns (separated using comma in the .txt files), each named as:
- accX - data from X - axis
- accY - data from Y - axis
- accZ - data from Z - axis
The Ground Truth is provided as a 11x7 structure that gives the timing of the Heel-Strike and Toe-Off events extracted from the FSR signals. This timing information is provided in terms of sample numbers and is relative to each activity. The structure consists of 7 fields that have already been segregated using the Indoor Experiment Timings and Outdoor Experiment Timings explained above:
- treadWalk - treadmill (flat) walk
- treadIncline - treadmill (slope) walk
- treadWalknRun - treadmill (flat) walk & run
- indoorWalk - indoor (flat space) walk
- indoorWalknRun - indoor (flat space) walk & run
- outdoorWalk - outdoor street walk
- outdoorWalknRun - outdoor street walk & run
Each row of the structure represents a Subject. For Indoor activities, Row 1 -> Subject1, ..., Row 11 -> Subject 11 and so on. For outdoor activities, Row 1 -> Subject 12,..., Row 9 -> Subject 20. As an example: GroundTruth(1).treadWalk provides the ground truth data for Subject 1 for treadmill (flat) walk. This is a structure with fields:
- SubIdx - Subject number. Ranges from Sub1 - Sub20
- LF_HS - Sample numbers of Heel-Strike event from Left Foot FSR signal.
- LF_TO - Sample numbers of Toe-Off event from Left Foot FSR signal.
- RF_HS - Sample numbers of Heel-Strike event from Right Foot FSR signal.
- RF_TO - Sample numbers of Toe-Off event from Right Foot FSR signal.
- Link to download timing information of the activities (both .txt and .mat format): File:Activity Timings.zip
- Link to download the Subject data files (.mat format): [To be made public very soon]
- Link to download the Subject data files (.txt format): [To be made public very soon]
[1] Siddhartha Khandelwal; Nicholas Wickström, "Evaluation of the performance of accelerometer-based gait event detection algorithms in different real-world scenarios using the MAREA gait database," submitted to Gait & Posture, 2016.
