Opportunity Study of Radar-based Interaction in Multiple Orgnizations

Details

Supervisors

Vanderdonckt, Jean ; Arthur Sluÿters

Faculty

Louvain School of Management

Degree label

Master [120] : ingénieur de gestion, à finalité spécialisée

Abstract

Radar-based gesture recognition has become a pivotal element in the evolution of Human-Computer Interaction. This study aims to demonstrate the feasibility and transformative potential of radar technology in advancing gesture recognition systems, particularly within organizational contexts. A comprehensive market study and survey were conducted to evaluate the device’s relevance across various applications documented in existing literature. Targeting a diverse audience, the survey gathered a wide range of perspectives on the potential uses of radar-based gesture recognition. To evaluate the feasibility, an extensive dataset was used, capturing gestures performed by different individuals through various materials. Testing these recorded gestures can help to confirm the system’s capability to accurately recognize gestures across a diverse population. The insights obtained from this research will be invaluable for stakeholders interested in this technology. Additionally, a comparative analysis of an extensive gesture dataset is provided. This research seeks to deepen the understanding of market trends, growth prospects, and technological advancements in radar-based gesture recognition, ultimately facilitating its integration into everyday Human-Machine scenarios.