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Parth Shah

Researcher at Hong Kong Polytechnic University

Publications -  24
Citations -  146

Parth Shah is an academic researcher from Hong Kong Polytechnic University. The author has contributed to research in topics: Computer science & Product design. The author has an hindex of 5, co-authored 18 publications receiving 51 citations. Previous affiliations of Parth Shah include VIT University.

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Journal ArticleDOI

Human wayfinding behaviour and metrics in complex environments: A systematic literature review

TL;DR: A systematic review of various factors affecting wayfinding behaviour in complex environments, including environment complexity, wayfinding metrics, environmental familiarity, experimental settings, signage design, and cultural differences are critically discussed.
Book ChapterDOI

Review on 3D Scanners for Head and Face Modeling

TL;DR: Three different types of 3D scanners used for scanning head and face and tries to analyze their performance are discussed, with an overview of possible advantages and limitations of all the three scanners.
Journal ArticleDOI

Three-dimensional human head modelling: a systematic review

TL;DR: A systematic review of different approaches that have been proposed for developing 3D head and face model and also the techniques used in processing and analysis of 3D data and their limitations are presented.
Journal ArticleDOI

Shape Memory Polyurethane-Based Smart Polymer Substrates for Physiologically Responsive, Dynamic Pressure (Re)Distribution

TL;DR: This paper reports on the development of a polyurethane-based SMP foam for effective pressure redistribution that demonstrates controllable changes in dynamic pressure redistribution capability at a low transition temperature and offers novel mechanisms for alleviating the risk of pressure ulcers.
Journal ArticleDOI

Assessment of pressure sensitivity in the head region for Chinese adults

TL;DR: Wang et al. as mentioned in this paper measured the pressure threshold in the head region for two hundred eighteen healthy Chinese adults at seventy-six anatomical locations, and further statistical analyses were performed on the acquired data to understand the relationship between different demographic parameters.