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Journal ArticleDOI

A Wearable Ultrasonic-Based Ankle Angle and Toe Clearance Sensing System for Gait Analysis

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TLDR
In this paper, a simple direct measurement of the ankle angle (AA) by triangulation methods using ultrasonic sensors without any complex sensor fusion algorithms is presented. And the proposed scheme senses the minimum toe clearance (MTC) which is another critical gait measure.
Abstract
Traditional methods of gait analysis are being done in an expensive motion-capture laboratory under a controlled environment. Although this provides accurate results, continuous monitoring and feedback are not feasible. The alternative is wearable systems that employ inertial measurement unit (IMU). However, IMUs suffer from drift due to the double integration to arrive at the position information. Although there are methods to overcome this drift using zero velocity updates and Kalman filtering techniques, these indirect methods of determining key gait parameters such as the ankle’s angular position require complex computation and predictive approaches. This paper presents a simple direct measurement of the ankle angle (AA) by triangulation methods using ultrasonic sensors without any complex sensor fusion algorithms. In addition, the proposed scheme senses the minimum toe clearance (MTC) which is another critical gait measure. The gait events are determined using the AA and toe clearance data obtained in a gait cycle. The gait events and temporal parameter measurements of the gait cycle were tested and compared with an in-house made video-based reference system. The root mean square error values were found to be varying between 0.91 to 1.54 degrees for ankle angle and 0.36 to 1.26 cm for toe clearance across gait phases. Repeatability of proposed system using the standard deviation found to vary between 1.53 to 2.56 degrees for ankle angle and 0.27 to 1.42 cm for toe clearance across gait phases. It is found to have a good correlation with ${r}$ value of 0.98 and 0.99 for ${p} for ankle angle and toe clearance, respectively, and matching with normative gait patterns, as expected.

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Citations
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Gait-based person fall prediction using deep learning approach

TL;DR: This research work proposed a gait-based fall prediction model using a deep learning approach and identifies the early fall of persons with walking disabilities.
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Human Motion Capture Based on MEMS Sensor

TL;DR: In this paper , a two-stage extended Kalman filter algorithm is proposed for multi-sensor data fusion and the feature of joint angle time series was extracted and the support vector machine (SVM) classification model based on particle swarm optimization was established.
Proceedings ArticleDOI

An Efficient two Dimensional Mapping of External Surroundings for Robotics and Drones

TL;DR: In this paper , the HC-SR04 ultrasonic sensor is mounted on top of a servo motor which is connected to an Arduino Uno board to record the polar plot of surroundings.
Proceedings ArticleDOI

An Efficient two Dimensional Mapping of External Surroundings for Robotics and Drones

TL;DR: In this article , the HC-SR04 ultrasonic sensor is mounted on top of a servo motor which is connected to an Arduino Uno board to record the polar plot of surroundings.
References
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Journal ArticleDOI

Wearable Sensors for Human Activity Monitoring: A Review

TL;DR: The latest reported systems on activity monitoring of humans based on wearable sensors and issues to be addressed to tackle the challenges are reviewed.
Book

Gait Analysis: An Introduction

TL;DR: Gait analysis data on CD-ROM Computer requirements Running the CD Contents of the CD How to use the Polygon viewer Notes Acknowledgements Appendices 1. normal ranges for gait parameters 2. Conversions between measurement units 3. future developments Conclusion
Journal ArticleDOI

Gait analysis using wearable sensors.

TL;DR: The gait analysis methods based on wearable sensors is divided into gait kinematics, gait kinetics, and electromyography, which are expected to play an increasingly important role in clinical applications.
Journal ArticleDOI

Gait analysis methods: an overview of wearable and non-wearable systems, highlighting clinical applications.

TL;DR: An increasing number of research works demonstrate that various parameters such as precision, conformability, usability or transportability have indicated that the portable systems based on body sensors are promising methods for gait analysis.
Journal ArticleDOI

Quaternion-based extended Kalman filter for determining orientation by inertial and magnetic sensing

TL;DR: Improvements in the accuracy of orientation estimates are demonstrated for the proposed quaternion based extended Kalman filter, as compared with filter implementations where either the in-line calibration procedure, the adaptive mechanism for weighting the measurements of the aiding system sensors, or both are not implemented.
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