Lim Joo Hwee
Michal is a scientist and engineer interested in cognitive vision, machine learning, and data analysis. His main research focuses on supporting and enhancing people's lives with computer vision and machine learning techniques embodied in mobile and wearable devices. UX research enthusiast.
Competences: computer vision, machine learning, human-computer interaction, user experience, user studies, data analysis
Main activities and responsibilities:
design, prototyping, and testing of cognitive vision systems (e.g., indoor navigation, social interaction) that utilizes computer vision and machine learning; implementation on the systems on mobile and wearable devices (e.g., smartphones, Google Glass); planning, conduct, and analysis (quantitative and qualitative) of user studies.
computer vision, user experience, machine learning, human-computer interaction, wearables
SocioGlass: social interaction assistance with face recognition on google glass
A Wearable Virtual Usher for Vision-Based Cognitive Indoor Navigation
Wearable Virtual Guide for Context-Aware Cognitive Indoor Navigation
Different types of navigation assistance and indoor scene memorability
Social Interaction Assistance on Google Glass
Cognitive Architectures for Visual Memory