1 citations · 1 across the 4 of their papers we have counts for
4 papers
Structure-from-Sherds++: Robust Incremental 3D Reassembly of Axially Symmetric Pots from Unordered and Mixed Fragment Collections
Seong Jong Yoo, Sisung Liu, Muhammad Zeeshan Arshad +7
Reassembling multiple axially symmetric pots from fragmentary sherds is crucial for cultural heritage preservation, yet it poses significant challenges due to thin and sharp fractu…
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…
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…
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…