Gait based biometric personal authentication by using MEMS inertial sensors

@article{Tao2018GaitBB,
  title={Gait based biometric personal authentication by using MEMS inertial sensors},
  author={Shuai Tao and Xiaowei Zhang and Huaying Cai and Zeping Lv and Caiyou Hu and Haiqun Xie},
  journal={Journal of Ambient Intelligence and Humanized Computing},
  year={2018},
  volume={9},
  pages={1705-1712}
}
Walking is one of the major human activities, and walking pattern is unique for each individual. Thus, human gait can be applied in biometric personal authentication. The traditional method for gait recognition is based on one or multiple cameras. With the rapid development of Micro-Electro-Mechanical System (MEMS), small light inertial sensors have been used for human identification so far. In this study, a gait based personal authentication method is proposed using MEMS inertial sensors. They… 

Gait recognition via random forests based on wearable inertial measurement unit

This paper compares random forest (RF) and several commonly used classification algorithms, and finds that the model constructed by RF can meet the requirements of gait recognition model for accuracy, generalization ability, speed, and noise resistance.

A Systematic Review on Gait Based Authentication System

  • R. DivyaR. Lavanya
  • Computer Science
    2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS)
  • 2020
During this survey, varied gait approaches, applications and various machine learning techniques which will be used for classification of gait features and its applications are concentrated on.

A continuous smartphone authentication method based on gait patterns and keystroke dynamics

A new multimodal authentication method able to strengthen the smartphone authentication system is proposed, which acquires gait patterns from the accelerometer as well as keystroke dynamics continuously without user intervention through simultaneous walk and text input.

Gait-Based Authentication Using a RGB Camera

This gait-based authentication of users by using a camera allows authentication without contact and using masks which make it safe to users in the current COVID-19 pandemic situation.

Gait identification using a new time-warped similarity metric based on smartphone inertial signals

A new gait identification approach is proposed by proposing a new time-warped similarity metric for memory-based gait pattern analysis that outperforms the conventional approaches by achieving a user recognition error rate of 7.7% and equal error rate based on samples from 50 subjects in two benchmark datasets.

Gait Recognition Based on the Feature Extraction of Gabor Filter and Linear Discriminant Analysis and Improved Local Coupled Extreme Learning Machine

The improved local coupled extreme learning machine based on particle swarm optimization is used for the classification process of the extracted features of the gait, and the proposed algorithm has good performance and performs well at cross-view gait recognition.

Big Data Energy Consumption Monitoring Technology of Obese Individuals Based on MEMS Sensor

It is proved that the MEMS energy consumption detector has good performance and high practicability, and can provide a new idea for obese individual motion detection.

Privacy protected user identification using deep learning for smartphone-based participatory sensing applications

A deep convolution neural network model is proposed for the user identification with accelerometer data generated from users smartphone sensors, and it is observed that the proposed model achieves better results as compared to the baseline methods.

Gait Analysis with Wearables Is a Potential Progression Marker in Parkinson’s Disease

It is demonstrated that gait impairment occurs in the early stage of PD and deteriorates with the progression of the disease.

Wearable Sensor-Based Daily Life Walking Assessment of Gait for Distinguishing Individuals With Amnestic Mild Cognitive Impairment

It is suggested that cognitive impairment-related gait disorders occur in daily life walking among the aMCI patients and a sensor-based wearable device for gait measurement may be an alternative and convenient tool for screening cognitive impairment.

References

SHOWING 1-10 OF 27 REFERENCES

Curve aligning approach for gait authentication based on a wearable accelerometer

Gait authentication based on a wearable accelerometer is a novel biometric which can be used for identity identification, medical rehabilitation and early detection of neurological disorders. The

Unobtrusive User-Authentication on Mobile Phones Using Biometric Gait Recognition

The performance when the data is collected with a commercially available mobile device containing low-grade accelerometers, including the Google G1 phone containing the AK8976A embedded accelerometer sensor is reported.

An Efficient HOS-Based Gait Authentication of Accelerometer Data

When compared with the latest state of the art, evaluated performance reveal the proposed approach as one of the most efficient and reliable of the currently available accelerometer-based gait authentication approaches.

A Lightweight Gait Authentication on Mobile Phone Regardless of Installation Error

A novel gait authentication mechanism by mining sensor resources on mobile phone using built-in accelerometer and magnetometer to handle mobile installation issues, including but not limited to disorientation, and misplacement errors is proposed.

A Parametric Approach to Gait Signature Extraction for Human Motion Identification

A new model-based feature extraction analysis is presented using Hough transform technique that helps to read the essential parameters used to generate gait signatures that automatically extracts and describes human gait for recognition.

Heel and Toe Clearance Estimation for Gait Analysis Using Wireless Inertial Sensors

A new method to estimate clearance using a foot-worn and wireless inertial sensor system relies on the computation of foot orientation and trajectory from sensors signal data fusion, combined with the temporal detection of toe-off and heel-strike events to provide a new and useful tool for routine clinical assessment of gait outside a dedicated laboratory.

Human Identification Using Temporal Information Preserving Gait Template

A novel temporal template, named Chrono-Gait Image (CGI), is developed that achieves competitive performance in gait recognition with robustness and efficiency and also proposes CGI-based real and synthetic temporal information preserving templates.