PosePilot: An Edge-AI Solution for Posture Correction in Physical Exercises
Automated pose correction remains a significant challenge in AI-driven fitness systems, despite extensive research in activity recognition. This work presents PosePilot, a novel system that...
The World of AI: A Novel Approach to AI Literacy for First-year Engineering Students
This work presents a novel course titled The World of AI designed for first-year undergraduate engineering students with little to no prior exposure to AI. The central problem addressed by this...
Saliency-guided Emotion Modeling: Predicting Viewer Reactions from Video Stimuli
Understanding the emotional impact of videos is crucial for applications in content creation, advertising, and Human-Computer Interaction (HCI). Traditional affective computing methods rely on...
Driver Hand Localization and Grasp Analysis: A Vision-based Real-time Approach
Extracting hand regions and their grasp information from images robustly in real-time is critical for occupants' safety and in-vehicular infotainment applications. It must however, be noted that...
Multi-modal Approach for Affective Computing
Throughout the past decade, many studies have classified human emotions using only a single sensing modality such as face video, electroencephalogram (EEG), electrocardiogram (ECG), galvanic skin...
An Affordable Bio-Sensing and Activity Tagging Platform for HCI Research
We present a novel multi-modal bio-sensing platform capable of integrating multiple data streams for use in real-time applications. The system is composed of a central compute module and a...