Feb 7, 2025 · Markerless vision-based human pose estimation (HPE) is a promising avenue towards scalable data collection in rehabilitation. Deploying this technology will require self …

Dec 14, 2024 · This study aims to evaluate and compare the performance of HPE models for assessing upper limbs ROM. A physiotherapist evaluated the degrees of ROM in shoulders …

Feb 7, 2025 · The aims of this work are to (1) Determine how depth data affects lightweight monocular red-green-blue (RGB) HPE performance (accuracy and speed), to inform sensor …

Mar 16, 2025 · A Human Parsing Estimator (HPE) is then introduced to semantically divide the person into various regions, which provides structural constraints on the human body and …

Mar 6, 2025 · Accurate and reliable human pose estimation (HPE) is essential in interactive systems, particularly for applications requiring personalized adaptation, such as controlling …

HPE methods must be validated for their feasibility and accuracy to measure the kinematics of persons with disabilities within the constraints of scalable deployment in healthcare …

Dec 14, 2024 · This study aims to evaluate and compare the performance of HPE models for assessing upper limbs ROM. A physiotherapist evaluated the degrees of ROM in shoulders …

The IJR module leverages the prior limb information for peripheral joint refinement. Extensive experimental results show that HopFIR outperforms the SOTA methods by a large margin, …

In this paper, the merits of both multiview images and wearable IMUs are combined to enhance the process of 3D HPE. We build upon a state-of-the-art baseline while introducing three …

To solve this problem, we present a simple yet effective HPE network called limb direction cues (LDCs) aware network (LDCNet) with LDCs and differentiated Cauchy labels, which can …