What question did this study set out to answer?

To provide a systematic review of state-of-the-art research on inertial sensor-based gait recognition for biometric security applications.

September 2, 2015SensorsOpen Access

Inertial Sensor-Based Gait Recognition: A Review

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Authors

SŠSebastijan ŠpragerUniversity of Ljubljana MJMatjaž B. JuričUniversity of Ljubljana

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Implication

Systematic review demonstrates effective biometric identification in smart device users through walking patterns, indicating strong feasibility for continuous security applications.

Key Points

To provide a systematic review of state-of-the-art research on inertial sensor-based gait recognition for biometric security applications.
Systematically reviewed literature examining gait recognition powered by microelectromechanical systems (MEMS) and inertial sensors embedded in smart devices.
Assessed recognition performance across experimental setups ranging from controlled laboratory settings to uncontrolled, real-world environments.
Advanced gait recognition models achieve sufficient user identification accuracy using inertial data from a single commercial smart device under controlled conditions with fixed sensor placement.
Recent algorithmic breakthroughs demonstrate effective identification performance under uncontrolled, realistic conditions despite natural variations in everyday walking behavior.

Cite This Study

Šprager et al. (2015) studied this question.

synapsesocial.com/papers/6a1ff6afc1b320180d0db42f https://doi.org/10.3390/s150922089

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Implication

Systematic review demonstrates effective biometric identification in smart device users through walking patterns, indicating strong feasibility for continuous security applications.

Inertial Sensor-Based Gait Recognition: A Review

Discussion

Member takes

Implication

Key Points

Cite This Study

Inertial Sensor-Based Gait Recognition: A Review

Discussion

Member takes

Implication

Key Points

Cite This Study

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