32 citations · 51 across the 5 of their papers we have counts for
5 papers
Real-Time Wearable Gait Phase Segmentation For Running And Walking
Jien-De Sui, Wei-Han Chen, Tzyy-Yuang Shiang +1
Previous gait phase detection as convolutional neural network (CNN) based classification task requires cumbersome manual setting of time delay or heavy overlapped sliding windows t…
Deep Gait Tracking With Inertial Measurement Unit
Jien De Sui, Tian Sheuan Chang
This paper presents a convolutional neural network based foot motion tracking with only six-axis Inertial-Measurement-Unit (IMU) sensor data. The presented approach can adapt to va…
IMU Based Deep Stride Length Estimation With Self-Supervised Learning
Jien-De Sui, Tian-Sheuan Chang
Stride length estimation using inertial measurement unit (IMU) sensors is getting popular recently as one representative gait parameter for health care and sports training. The tra…
Real Time On Sensor Gait Phase Detection with 0.5KB Deep Learning Model
Yi-An Chen, Jien-De Sui, Tian-Sheuan Chang
Gait phase detection with convolution neural network provides accurate classification but demands high computational cost, which inhibits real time low power on-sensor processing.…
Brain-Inspired Deep Imitation Learning for Autonomous Driving Systems
Hasan Bayarov Ahmedov, Dewei Yi, Jie Sui
Autonomous driving has attracted great attention from both academics and industries. To realise autonomous driving, Deep Imitation Learning (DIL) is treated as one of the most prom…