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Recognition of Forward Head Posture Through 3D Human Pose Estimation With a Graph Convolutional Network: Development and Feasibility Study

Recognition of Forward Head Posture Through 3D Human Pose Estimation With a Graph Convolutional Network: Development and Feasibility Study

Their expertise in posture assessment was crucial for identifying FHP, characterized by the contraction of the upper cervical region, leading to disrupted body alignment. To enrich our data set, we also incorporated additional images from a public pose repository [18] and extracted data sets from publicly accessible digital photos and videos including You Tube. This effort yielded a total of 2387 samples, with 1528 samples classified as “normal” and 859 samples classified as “FHP.”

Haedeun Lee, Bumjo Oh, Seung-Chan Kim

JMIR Form Res 2024;8:e55476

Understanding the Sociocultural Challenges and Opportunities for Affordable Wearables to Support Poststroke Upper-Limb Rehabilitation: Qualitative Study

Understanding the Sociocultural Challenges and Opportunities for Affordable Wearables to Support Poststroke Upper-Limb Rehabilitation: Qualitative Study

Those who survive the stroke may lose limb function in the upper limbs [3], which impacts motor control and can lead to long-term or permanent disability [2,4,5]. As a result, stroke patients cannot perform daily living activities such as eating, picking, and placing, and may become dependent on caregivers [4,6]. Stroke patients often undergo upper-limb rehabilitation (ULR) to improve their range of movements [7], which can help them lead independent lives and reduce reliance on caregivers.

Rahat Jahangir Rony, Shajnush Amir, Nova Ahmed, Samuelson Atiba, Nervo Verdezoto, Valerie Sparkes, Katarzyna Stawarz

JMIR Rehabil Assist Technol 2024;11:e54699