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

1 citations · 1 across the 3 of their papers we have counts for

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3 papers

eess.SP2022★ 1 cited

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

Muhammad Zeeshan Arshad, Ankhzaya Jamsrandorj, Jinwook Kim +1

Elderly gait is a source of rich information about their physical and mental health condition. As an alternative to the multiple sensors on the lower body parts, a single sensor on…

cs.CV2021

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

Muhammad Zeeshan Arshad, Dawoon Jung, Mina Park +2

Human identification is one of the most common and critical tasks for condition monitoring, human-machine interaction, and providing assistive services in smart environments. Recen…

cs.CV2021

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

Muhammad Zeeshan Arshad, Dawoon Jung, Mina Park +3

Frailty is a common and critical condition in elderly adults, which may lead to further deterioration of health. However, difficulties and complexities exist in traditional frailty…