cs.AI updates on arXiv.org 10月07日 12:17
Blexer v3:模块化AI康复生态系统设计
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本文概述了Blexer v3的设计愿景和计划发展,这是一个基于严肃游戏的模块化和AI驱动康复生态系统。通过整合多模态感知、实时推理和智能控制,提出了一种新的架构,旨在支持个性化干预。文章提出了Blexer v3的完整概念框架,为下一阶段功能原型开发及其临床康复场景集成奠定基础。

arXiv:2510.04615v1 Announce Type: cross Abstract: This paper outlines the design vision and planned evolution of Blexer v3, a modular and AI-driven rehabilitation ecosystem based on serious games. Building on insights from previous versions of the system, we propose a new architecture that aims to integrate multimodal sensing, real-time reasoning, and intelligent control. The envisioned system will include distinct modules for data collection, user state inference, and gameplay adaptation. Key features such as dynamic difficulty adjustment (DDA) and procedural content generation (PCG) are also considered to support personalized interventions. We present the complete conceptual framework of Blexer v3, which defines the modular structure and data flow of the system. This serves as the foundation for the next phase: the development of a functional prototype and its integration into clinical rehabilitation scenarios.

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模块化设计 AI康复 严肃游戏 多模态感知 临床应用
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