Abstract
A flexible wearable sensor utilizing a balloon-shaped interferometer structure, created from a bent standard single-mode fiber and a 3D-printed piece, was introduced and shown for respiratory monitoring. The interferometer is a compact, cost-effective, and easily fabricated sensor. The fiber's curvature causes interference between the core and cladding modes, which in turn results in the sensor operation. In the balloon-shaped curving section, light traversing the core partially escapes and interacts with the cladding. The preliminary results demonstrate an average displacement of 9.3 nm and the capability to evaluate breathing rate.

Abstract
People around the globe struggle with health issues requiring regular medication. Children, in particular, suffer more and more from chronic illnesses. In 2024, a team of six EPS@ISEP students chose to design a solution for this problem, followed by the assembly and testing of the corresponding proof-of-concept prototype. The aim was to design a solution for children to take the right medication, at the right time and in the right dose, in a pleasant and engaging way, based on technical, ethical, sustainability and market analyses. Focusing on children between the ages of 8 and 12, the team decided to incorporate a motivational system based on rewards to ensure that they take their medication correctly. The outcome is billy, a pill dispenser controlled via an app which allows carers to plan doses and release rewards, and children to autonomously take their medication. The system dispenses up to 21 doses of medication to the child through fingerprint authentication, and photographs the child taking the medication to reassure carers.

Abstract
This paper introduces Motiv, a dataset of expert saxophonist recordings illustrating parallel, similar, oblique, and contrary motions. These motions are variations of three phrases from Jesus VillaRojo's Lamento, with controlled similarities. The dataset includes 116 audio samples recorded by four tenor saxophonists, each annotated with descriptions of motions, musical scores, and latent space vectors generated using the VocalSet RAVE model. Motiv enables the analysis of motion types and their geometric relationships in latent spaces. Our preliminary dataset analysis shows that parallel motions align closely with original phrases, while contrary motions exhibit the largest deviations, and oblique motions show mixed patterns. The dataset also highlights the impact of individual performer nuances. Motiv supports a variety of music information retrieval (MIR) tasks, including gesture-based recognition, performance analysis, and motion-driven retrieval. It also provides insights into the relationship between human motion and music, contributing to real-time music interaction and automated performance systems.

Abstract
Music production has long been characterized by well-defined concepts and techniques. However, a notable gap exists in applying these established principles to music production within immersive media. This paper addresses this gap by examining post-production processes applied to three case studies, i.e., three songs with unique instrumental features and narratives. The primary objective is to facilitate an in-depth analysis of technical and artistic challenges in musical production for immersive media. From a detailed analysis of technical and artistic post-production decisions in the three case studies and a critical examination of theories and techniques from sound design and music production, we propose a framework with a tripartite mixing categorization for immersive media: Traditional Production, Expanded Traditional Production, and Nontraditional Production. These concepts expand music production methodologies in the context of immersive media, offering a framework for understanding the complexities of spatial audio. By exploring these interdisciplinary connections, we aim to enrich the discourse surrounding music production, rethinking its conceptual plane into more integrative media practices outside the core music production paradigm, thus contributing to developing innovative production methodologies. © 2025 IEEE.

Abstract
Many organizations and countries are requiring information systems to innovate and break with their legacy systems in many areas in order to be more effective and stand out from their competitors. The education system is one of those areas in need of innovation, as it is one of the fundamental tools for the success of any society. Due to rapid changes and increased complexity, today's world requires a new educational system that aims to improve the agility and flexibility of students in a highly demanding environment. This study proposes the use of Mixed Reality (MR) in educational systems for teaching STEM subjects to secondary school students, given its proven benefits for both teachers and student performance. Based on a specific case study related to the development of the HoloAnatomy application by CWRU and Cleveland Clinic (USA), as well as the successful learning outcomes of this technology, we present a proposed MR technology to be implemented in the educational system, comprising four subjects and some related content, based on a similar development path.

Abstract
A sensor based on the fiber Bragg grating (FBG) and additive manufacturing for diameter variation measurement is proposed and experimentally demonstrated in this work. Two designs were proposed: a FBG alone and a FBG in series with a spring. Three tests were developed for each design, and at the end, the statistical treatment was performed. The designs were fabricated using a 3D printer, and the FBG sensor is embedded. The results demonstrated that the structures proposed in this work can be used to monitor diameter variation, among other applications. The sensors, with and without spring in series, presented sensitivities of 0.0671 nm/mm and 0.5116 nm/mm, respectively, with a good linear response greater than 0.99.