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    <responseDate>2026-10-13T13:14:43Z</responseDate>
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            <header>
                <identifier>oai:data.mendeley.com/xtfztj98tw.1</identifier>
                <datestamp>2024-09-04T23:24:34Z</datestamp>
            </header>
            <metadata><oai_dc:dc xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
    <dc:creator>Santos, Maykol</dc:creator>
    <dc:title>Dataset related to Lower limb movement in 10 Meter Walk Test</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>This dataset captures detailed lower limb movement data during a 10-meter walk test, which is useful for gait and mobility analysis. The data is collected using two tilebox sensors, strategically positioned to capture a comprehensive set of motion parameters.

Each sensor records the following types of data:

Accelerometer Data: Measures linear acceleration, providing insights into the speed and direction of leg movements.
Gyroscope Data: Captures angular velocity, aiding in the analysis of limb rotation and stability during walking.
Magnetometer Data: Records magnetic field data, useful for determining the orientation and heading of the sensors relative to the Earth&apos;s magnetic field.
Temperature Data: Monitors ambient or sensor temperature, which can impact sensor performance or provide environmental context.

The dataset also includes a YAML file containing demographic and lifestyle information for each participant, which provides critical context for data interpretation. The YAML file details include:

Demographic Information: Gender, age, weight, height.
Physical Activity: Frequency, duration, and type of exercise (e.g., walking).
Diet and Nutrition: Dietary habits, portions of fruits or vegetables consumed, daily water intake.
Health Status: Presence of health pathologies (e.g., motor-related issues), smoking status, and current physical state.
Sleep and Energy Levels: Average hours of sleep and perceived energy levels.
Motivation and Participation: Interest in participating in the study.
Mobility Aids: Use of walking aids, if applicable.</dc:description>
    <dc:subject>Movement</dc:subject>
    <dc:subject>Sensor</dc:subject>
    <dc:subject>Health</dc:subject>
    <dc:subject>Biomedical Sensor</dc:subject>
    <dc:subject>Biomedical Research</dc:subject>
    <dc:contributor>Coelho, Paulo</dc:contributor>
    <dc:contributor>Pires, Ivan</dc:contributor>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/xtfztj98tw.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/xtfztj98tw.1</dc:identifier>
    <dc:rights>Creative Commons Attribution 4.0 International</dc:rights>
    <dc:rights>http://creativecommons.org/licenses/by/4.0</dc:rights>
    <dc:relation>https://data.mendeley.com/datasets/xtfztj98tw</dc:relation>
    <dc:date>2024-09-04T23:24:34Z</dc:date>
</oai_dc:dc></metadata>
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