Triaxial accelerometer gait dataset: foot and lower back motion during normal and metronome walking
Creators
Description
This dataset contains accelerometric data collected from young and older individuals walking in a controlled environment. The data were recorded using two triaxial accelerometers, one attached to the participant's lower back and the other attached to the foot. Participants were instructed to walk back and forth along a 205-meter corridor under two different conditions:
Normal walking: Participants walked at their preferred walking speed, reflecting their natural gait and pace.
Metronome walking: Participants synchronized their walking pace to a metronome set to their preferred walking cadence. This condition introduced a rhythmic element to the walking pattern, allowing for the study of gait changes when adhering to an external tempo.
Another condition was also measured to introduce a more variable and dynamic walking pattern that reflects everyday pedestrian movement in a real-world context.
Free outdoor walking: Older participants engaged in approximately 5 minutes of free walking in an urban environment, navigating city streets. During this activity, only the lumbar accelerometer was used to record data.
Methods (English)
Data collection methodology
- Measuring device. The dataset was collected using two compact and lightweight triaxial accelerometers (Physilog 6S, Gaitup, Switzerland), each measuring 42.2 x 31.6 x 15 mm and weighing 15 grams. These high-precision instruments have 16-bit resolution, an accuracy range of +/- 8g, and operate at a sampling rate of 256 Hz. For data acquisition, one accelerometer was attached to the instep of the right foot, and the other was positioned in the lumbar region, specifically at the L4-L5 spinal level.
- Participant information. The dataset contains data from 60 older participants and 42 young participants. The mean age of the older participants is 76 years (standard deviation: 6 years), with an age range of 65 to 88 years. Regarding the sex distribution, 60% of the participants (n=36) are female and 40% (n=24) are male. The mean body mass is 74 kg (SD=16) and the mean height is 1.68 m (SD=0.08). Detailed individual older participant information can be found in the file _data_old.csv. In addition, 42 young adults, including 16 males (38%) and 26 females (62%), participated in the indoor walking test. Their mean age was 27 years (SD = 5.9), with a body mass of 68.9 kg (SD = 17.7) and height of 1.71 m (SD = 0.08). Detailed individual young participant information can be found in the file _data_young.csv.
- Data collection protocol. Participants completed two different walking tasks in a 205 m corridor and in an urban outdoor environment. They wore they own comfortable, low-rise shoes. First, they walked the corridor for two laps (outbound and return) at their natural pace with each lap timed to determine their preferred walking speed. After a five-minute break, during which walking cadence was calculated from lumbar accelerometer data, they began another corridor walk. This time, they synchronized their gait with an electronic metronome set to their previously determined cadence. The metronome-synchronized walk was preceded by a short 30-second practice walk. Finally, participants completed a 5-minute free walk in an urban environment, wearing only the lumbar accelerometer.
- Data processing. The raw accelerometric data were initially recorded in a proprietary binary format (.bin files) for both the lumbar and foot accelerometers. This encompassed continuous recordings for the outbound and return laps, as well as the outdoor walking session. These files were then imported into MATLAB using a script provided by the accelerometer manufacturer. Subsequently, under expert supervision, each file was inspected using MATLAB figures to identify the segments of constant walking. Portions of the data corresponding to the beginning, breaks, and ending of each session were carefully selected and removed. The continuous walking segments for the outbound and return laps were then saved separately in .csv format. As a result, the files provided in this dataset represent uninterrupted walking periods. It should be noted that the outdoor walk files may contain brief pauses, reflecting instances where participants had to momentarily stop.
Notes (English)
Notes (English)
Notes (English)
Notes (English)
Files
_data_old.zip
Files
(809.8 MB)
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Additional details
Related works
- References
- Conference paper: 10.1016/j.gaitpost.2022.07.102 (DOI)
- Conference paper: 10.1016/j.gaitpost.2022.07.106 (DOI)
Dates
- Created
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2023-11-20Upload of the first version
- Updated
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2023-11-22Add two references
- Updated
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2024-12-12Add younger participants