OVERVIEW
项目概述
Technical Background项目概述
技术背景
The “MoveEase” project is built on a distributed architecture, supporting both client-server and peer-to-peer models. It utilises p5.js for creating interactive web applications compatible across devices. Input mechanisms include touch, text, camera tracking, and sound. AI techniques such as PoseNet for pose estimation are integrated into at least one component to enhance responsiveness. The system uses protocols like OSC or MQTT for efficient communication, aiming to create a dynamic and immersive experience.
“MoveEase” 项目采用支持客户端-服务器和点对点模型的分布式架构，使用p5.js创建兼容多设备的交互式Web应用。输入机制包括触摸、文字、相机追踪和声音。通过集成如PoseNet等AI技术来提升响应能力。系统使用OSC或MQTT等协议进行高效通信，旨在打造动态和沉浸式体验。
问题陈述
Prolonged sitting has become a widespread issue, causing discomfort and increasing the risks of diseases like heart disease and cancer. Despite health guidelines, many individuals remain inactive due to time constraints and sedentary work routines.
久坐问题日益普遍，导致不适并增加了患心脏病和癌症等疾病的风险。尽管有健康指南，许多人由于时间限制和久坐的工作习惯，仍然缺乏足够的活动。
Solution解决方案
“MoveEase” is an AI-based system using PoseNet technology to provide personalised desk-based relaxation exercises. It monitors user movements, offers real-time feedback, and delivers reminders to encourage consistent, healthy habits.
“MoveEase” 是一款基于AI的系统，利用PoseNet技术提供个性化的桌面放松运动。它监控用户动作，提供实时反馈，并通过提醒促使用户养成持续健康的习惯。
2周（2023年6月）
Project Info项目信息
Course Team Accessment
课程小组作业
Team Members小组成员
Alicia Sun
Wenxuan Huang
Zhuo Zhao
Chengkang Yuan
Tools工具 Processing & p5.js
My Contribution
我的贡献
My primary responsibilities included training the PoseNet machine learning model, implementing parts of the front-end code, and designing the user interface (UI). My focus was on ensuring the accuracy of pose estimation and creating a seamless user experience through intuitive UI design.
我主要负责PoseNet机器学习模型的训练、部分前端代码的实现以及用户界面（UI）的设计。我专注于确保姿态估计的准确性，并通过直观的UI设计营造流畅的用户体验。
My Learning and Areas for Improvement
My Learning and Areas for Improvement
我的收获和不足
As a designer with a visual design background, this project helped me better understand the challenges of front-end development and the complexities of information exchange between design and development. This experience enhanced my technical understanding and broadened the scope of my design applications, allowing me to approach future projects with a more comprehensive and collaborative mindset. However, due to my limited development skills, I sometimes had to compromise on certain solutions, which highlighted the need to further strengthen my coding abilities to achieve more refined results.
作为一名具有视觉设计背景的设计师，这个项目帮助我更好地理解了前端开发的挑战以及设计与开发之间信息交互的复杂性。这段经历提升了我对技术的理解，并拓宽了我的设计应用范围，使我在未来项目中能以更全面和协作的思维方式进行设计。然而，由于我在开发技能上的不足，有些方案不得不进行妥协，这让我意识到需要进一步加强编码能力，以实现更精细的成果。
Demonstration Video演示视频
Annotations / 注释：
This video demonstrates the complete workflow of a system where users select actions via a mobile app, and the computer system performs motion recognition. Upon action completion, feedback is transmitted back to the mobile app, ensuring a cohesive and interactive experience.
本视频展示了用户通过手机应用选择动作、电脑系统执行动作识别的完整流程。动作完成后，反馈信息传回手机应用，确保了连贯且互动的体验。
This video demonstrates the complete workflow of a system where users select actions via a mobile app, and the computer system performs motion recognition. Upon action completion, feedback is transmitted back to the mobile app, ensuring a cohesive and interactive experience.
本视频展示了用户通过手机应用选择动作、电脑系统执行动作识别的完整流程。动作完成后，反馈信息传回手机应用，确保了连贯且互动的体验。
BACKGOUND RESEARCH背景调研
PROCESS DOCUMENTATION过程文档
USER GUIDE用户指南