The field of human-computer interaction is moving towards more immersive and interactive experiences, with a focus on virtual and augmented reality. Researchers are exploring new ways to enhance user authentication, activity recognition, and pose estimation. One notable trend is the use of simulation-based frameworks to optimize sensor placement and generate realistic synthetic data. Another area of interest is the development of markerless motion capture systems using smartphone cameras, which has the potential to make exergames more accessible and cost-effective. Noteworthy papers include: NRXR-ID, which presents a novel technique for two-factor authentication in virtual reality using near-range extended reality and smartphones. W2W, which introduces a simulation-based framework for systematic exploration of IMU placement utility across the body. Breaking the Plane, which enables users to visualize 3D mathematical functions using handwritten input in augmented reality. AnthroTAP, which proposes an automated pipeline to generate pseudo-labeled training data for point tracking using human motion. SImpHAR, which advances impedance-based human activity recognition using 3D simulation and text-to-motion models.