Real-Time Wearable Gait Phase Segmentation For Running And Walking

05/10/2022
by   Jien-De Sui, et al.
0

Previous gait phase detection as convolutional neural network (CNN) based classification task requires cumbersome manual setting of time delay or heavy overlapped sliding windows to accurately classify each phase under different test cases, which is not suitable for streaming Inertial-Measurement-Unit (IMU) sensor data and fails to adapt to different scenarios. This paper presents a segmentation based gait phase detection with only a single six-axis IMU sensor, which can easily adapt to both walking and running at various speeds. The proposed segmentation uses CNN with gait phase aware receptive field setting and IMU oriented processing order, which can fit to high sampling rate of IMU up to 1000Hz for high accuracy and low sampling rate down to 20Hz for real time calculation. The proposed model on the 20Hz sampling rate data can achieve average error of 8.86 ms in swing time, 9.12 ms in stance time and 96.44% accuracy of gait phase detection and 99.97% accuracy of stride detection. Its real-time implementation on mobile phone only takes 36 ms for 1 second length of sensor data.

READ FULL TEXT
research
05/02/2022

Real Time On Sensor Gait Phase Detection with 0.5KB Deep Learning Model

Gait phase detection with convolution neural network provides accurate c...
research
05/10/2022

Deep Gait Tracking With Inertial Measurement Unit

This paper presents a convolutional neural network based foot motion tra...
research
05/06/2022

IMU Based Deep Stride Length Estimation With Self-Supervised Learning

Stride length estimation using inertial measurement unit (IMU) sensors i...
research
08/01/2022

Continuous locomotion mode recognition and gait phase estimation based on a shank-mounted IMU with artificial neural networks

To improve the control of wearable robotics for gait assistance, we pres...
research
10/15/2021

Gait-based Frailty Assessment using Image Representation of IMU Signals and Deep CNN

Frailty is a common and critical condition in elderly adults, which may ...
research
11/09/2017

Using Phone Sensors and an Artificial Neural Network to Detect Gait Changes During Drinking Episodes in the Natural Environment

Phone sensors could be useful in assessing changes in gait that occur wi...
research
12/03/2017

An Artificial Neural Network for Gait Analysis to Estimate Blood Alcohol Content Level

Impairments in gait occur after alcohol consumption, and, if detected in...

Please sign up or login with your details

Forgot password? Click here to reset