|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/build-ai-fitness-apps-in-android-kotlin-with-pose-detection/
课程评论：没有评论
课程名称：在Android中构建AI健身应用与姿态检测 2025 课程概述：你是想要开发智能健身应用的Android开发者吗？这个课程正是为你而设计！在这个实用的课程中，你将学习如何使用Kotlin和谷歌的ML Kit将姿态检测模型集成到原生Android应用中。无论你是在构建健身追踪器、AI瑜伽教练还是互动锻炼应用，你都将在课程中学到如何通过识别肩膀、膝盖和踝部等关键点，分析人体运动。 课程内容： 1. 姿态检测的介绍及其在健身、医疗和体育领域的实际应用 2. 如何在基于Kotlin的Android应用中使用谷歌的ML Kit姿态检测API 3. 从图像和实时摄像头捕捉和分析姿态 4. 构建AI健身应用，例如： - 瑜伽姿势检测应用 - 实时评估瑜伽姿势 - 运动重复计数应用 - 计数俯卧撑、深蹲等锻炼 - 姿势分析应用 - 检测用户姿势并提供反馈 5. 处理姿态检测结果以检测关键点和跟踪活动 6. 使用Android的摄像头和绘制覆盖层展示实时姿态数据 课程结构： 模块1 - 姿态检测和Android中的ML Kit介绍 模块2 - 使用静态图像进行姿态检测（图库或摄像头） 模块3 - 使用实时摄像头捕捉姿态检测 模块4 - 在Kotlin中构建实践AI健身应用 模块5 - 优化用户体验并准确检测运动 适合对象： - Android开发者（初学者到高级） - 寻求将AI/ML集成到应用中的Kotlin开发者 - 构建健身、瑜伽或健康平台的应用创作者 - 希望学习实时身体运动追踪的技术爱好者 - 不需要ML经验，只需具备基本的Android和Kotlin知识！ 为什么选择这个课程？ - 在原生Android中构建真实的AI驱动健身应用 - 动手项目伴有源代码与视觉反馈 - 步步指导姿态检测整合 - 使用谷歌ML Kit进行准确可靠的姿态追踪 - 创建在健身、体育和健康领域脱颖而出的应用 让我们开始行动吧！到课程结束时，你将能够开发出理解人体运动并智能响应的真实Android应用。开始构建下一代AI健身和锻炼应用——所有这些都是基于Kotlin和ML Kit的！
Are you an Android developer who wants to build intelligent fitness apps that detect yoga poses, count exercises, and track workouts in real time?This course is for you!In this practical, hands-on course, you'll learn how to integrate pose detection models into native Android apps using Kotlin and Google's ML Kit. Whether you're building fitness trackers, AI yoga coaches, or interactive workout apps, you'll discover how to use pose detection to analyze human body movements by identifying key points like shoulders, knees, and ankles.What You'll Learn1: Introduction to Pose Detection and real-world use cases in fitness, healthcare, and sports2: How to use Google's ML Kit Pose Detection API in Kotlin-based Android apps3: Capture and analyze poses from images and live camera feed4: Build AI fitness apps like: Yoga Pose Detection App - Evaluate yoga poses in real time Exercise Repetition Counter App - Count push-ups, squats, and more Posture Analysis App - Detect user posture and provide feedback Process pose detection results to detect key points and track movements Display real-time pose data using Android's camera and drawing overlays Course Structure Module 1 - Introduction to Pose Detection and ML Kit in Android Module 2 - Pose Detection with Static Images (Gallery or Camera) Module 3 - Real-Time Pose Detection Using Live Camera Feed Module 4 - Building Hands-On AI Fitness Apps in Kotlin Module 5 - Optimize User Experience and Detect Movements Accurately Who Is This Course For?Android developers (beginner to advanced)Kotlin developers looking to integrate AI/ML in their appsApp creators building fitness, yoga, or wellness platformsTech enthusiasts who want to learn real-time body movement trackingNo ML experience needed - just basic Android & Kotlin knowledge!Why Take This Course?Build real AI-powered fitness apps in native AndroidHands-on projects with source code & visual feedbackStep-by-step guidance on pose detection integrationUse Google ML Kit for accurate and reliable pose trackingCreate apps that stand out in fitness, sports, and health domainsLet's Get Moving!By the end of this course, you'll be ready to develop real-world Android apps that understand human motion and respond intelligently. Start building the next generation of AI fitness and workout apps - all with Kotlin and ML Kit!
