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Exploration and Research of Human Identification Scheme Based on Inertial Data
Zhenyi Gao1, Jiayang Sun1, Haotian Yang1
1Department of Precision Instrument, Engineering Research Center for Navigation Technology, Tsinghua University, Beijing 100084, China.
Sensors (Basel, Switzerland)
|June 24, 2020
Summary
Inertial data can identify human identity with high accuracy using neural networks. Feature extraction is crucial for effective human identification from inertial sensor data.
Area of Science:
- Biometrics
- Signal Processing
- Machine Learning
Background:
- Inertial data, collected from sensors, is known to contain behavioral information.
- Previous studies focused on using inertial data for behavior classification.
- The potential of inertial data for human identity recognition remained largely unexplored.
