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Full Description
This book constitutes the refereed proceedings of the 23rd International Conference on Advances in Mobile Computing and Multimedia Intelligence, MoMM 2025, held in Matsue, Japan, during December 8-10, 2025.
The 10 full papers and 6 short papers included in this book were carefully reviewed and selected from 31 submissions. They were organized in topical sections as follows: Mobile and Wearable Systems; Security and Trust in Mobile Environments; and Immersive and Context-Aware Computing.
Contents
.- Mobile and Wearable Systems.
.- Diffusion-TS: A Hybrid Model for Human Skeleton Prediction.
.- LightVideoRAG: Low-Resource Long Video Question-Answering via Adaptive Sampling and Context-Aware Retrieval.
.- Exploring the Design of Context-Aware Widget Recommender System in Mixed Reality.
.- System to Support Acquiring Midfoot Strike Running through Intermittent Feedback of Foot Pressure Balance.
.- Ear Canal Pressure-Based Oral Gesture Recognition for Saxophone Performance.
.- Step-based Sensor Data Segmentation using Foot Pressure Sensors.
.- Security and Trust in Mobile Environments.
.- Anti-ESIA: Analyzing and Mitigating Impacts of Electromagnetic Signal Injection Attacks on Image Sensing.
.- User-to-PC Authentication Through Confirmation on Mobile Devices: On Usability and Performance.
.- Silent Speech Recognition Using Ear Canal Pressure Changes.
.- Dependency-Based Evolution Planning of a Multi-Version Microservice RAN Application.
.- Immersive and Context-Aware Computing.
.- Napping in the Virtual World: Exploring the Effects of VR Audiovisual Relaxation on Napping.
.- A Method for Reducing Cognitive Load by Virtually Relocating the Visual Position of Distracting Sound Sources Away from the Task Direction.
.- AR Superimposed Display System with Video Synchronization.
.- Grounded in the Fields: Participatory Foundations for Human-Centered Agricultural Software in Central Borneo.
.- Human-in-the-Loop Generative AI for Explainable Insurance Decision Support.
.- Lyric-Aware DJ Track Recommendation based on Semantic Relationships.

              

