A Framework to Analyse Digital Fabrication Projects
In this study, we formulate a framework to evaluate open-ended projects related to digital fabrication. The framework consists of two dimensions, i.e. […]
Opportunities with uncertainties
Adopting immersive Virtual Reality (VR) technology in the early stages of design appeals to designers, as research has shown that immersing people […]
Let’s hear children’s voice
Children provide innovative insights and perspectives when designing and evaluating prospective technologies and interaction methods. However, working with children as design informants […]
Literature review
Virtual reality (VR) technology has introduced a range of equipment, contexts, and stimuli with possible applications in the context of design creativity. […]
Low-Complexity Vector Quantized Compressed Sensing via Deep Neural Networks
Sparse signals, encountered in many wireless and signal acquisition applications, can be acquired via compressed sensing (CS) to reduce computations and transmissions, […]
Semantic measures in design conversations as predictors of creative outcomes in design education
The analysis of conversations maintained during the design activity can help to gain a better insight into design thinking and its relation […]
Revisiting motion-based respiration measurement from videos
Video-based motion analysis gave rise to contactless respiration rate monitoring that measures subtle respiratory movement from a human chest or belly. In […]
Automatic detection of artifacts in EEG by combining deep learning and histogram contour processing
This paper introduces a simple approach combining deep learning and histogram contour processing for automatic detection of various types of artifact contaminating […]
Revealing the Invisible With Model and Data Shrinking for Composite-Database Micro-Expression Recognition
Composite-database micro-expression recognition is attracting increasing attention as it is more practical for real-world applications. Though the composite database provides more sample […]
Resource Allocation in Low Density Spreading Uplink NOMA via Asymptotic Analysis
Low density spreading non-orthogonal multiple- access (LDS-NOMA) is considered where K single-antenna user equipments (UEs) communicate with a base station (BS) over […]