Picture for Muhammad Zeeshan Arshad

Muhammad Zeeshan Arshad

Gait Events Prediction using Hybrid CNN-RNN-based Deep Learning models through a Single Waist-worn Wearable Sensor

Add code
Feb 28, 2022
Figure 1 for Gait Events Prediction using Hybrid CNN-RNN-based Deep Learning models through a Single Waist-worn Wearable Sensor
Figure 2 for Gait Events Prediction using Hybrid CNN-RNN-based Deep Learning models through a Single Waist-worn Wearable Sensor
Figure 3 for Gait Events Prediction using Hybrid CNN-RNN-based Deep Learning models through a Single Waist-worn Wearable Sensor
Figure 4 for Gait Events Prediction using Hybrid CNN-RNN-based Deep Learning models through a Single Waist-worn Wearable Sensor
Viaarxiv icon

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

Add code
Oct 15, 2021
Figure 1 for Gait-based Frailty Assessment using Image Representation of IMU Signals and Deep CNN
Figure 2 for Gait-based Frailty Assessment using Image Representation of IMU Signals and Deep CNN
Figure 3 for Gait-based Frailty Assessment using Image Representation of IMU Signals and Deep CNN
Figure 4 for Gait-based Frailty Assessment using Image Representation of IMU Signals and Deep CNN
Viaarxiv icon

Gait-based Human Identification through Minimum Gait-phases and Sensors

Add code
Oct 15, 2021
Figure 1 for Gait-based Human Identification through Minimum Gait-phases and Sensors
Figure 2 for Gait-based Human Identification through Minimum Gait-phases and Sensors
Figure 3 for Gait-based Human Identification through Minimum Gait-phases and Sensors
Figure 4 for Gait-based Human Identification through Minimum Gait-phases and Sensors
Viaarxiv icon