Gait Kinematics During Smartphone Use with Touchscreen Gestures

Thirty-one young adults performed smartphone tasks while walking, with gait kinematics recorded via inertial measurement units. The dataset contains processed variables including gait speed, stride length, cadence, double support, swing phase, and lumbar range of motion across three planes. It supports analysis of how specific touchscreen gestures and interface design variations affect walking biomechanics.

Use Cases

• Analyzing the effect of gesture types (tap, press, drag) on gait speed and stride length.
• Comparing the impact of interface component designs (e.g., low contrast, enlarged buttons) on lumbar range of motion.
• Modeling dual-task interference by correlating smartphone interaction events with temporal gait parameters like double support time.
• Validating inertial measurement unit (IMU) data processing pipelines for isolating dual-task strides using a 70% temporal overlap criterion.

Strengths

• Includes data from 31 participants with a mean age of 25 ± 5 years, providing a sample for statistical analysis.
• Contains raw and processed data alongside the custom Python script used for analysis, supporting reproducibility.
• Data collection used standardized tasks and APDM Opal IMUs with Mobility Lab software, indicating a controlled measurement protocol.

Limitations

• The exact number of rows or observations is not specified in the provided metadata.
• The dataset's cross-platform presence is limited to a single source (figshare), reducing independent verification.
• The temporal coverage of the data collection period is not specified.

Provenance

Source

Data were collected at the Movi-Lab, São Paulo State University (UNESP), Bauru, Brazil.

Collection Method

Gait kinematics were recorded using APDM Opal inertial measurement units (IMUs) placed at the lumbar spine (L5) and both feet during walking tasks.

Freshness

Last updated on 2026-03-19.

Geography

Bauru, Brazil.