Hi there,
I am YI HE ,
Just a fellow learner.

I've been researching topics related to artificial intelligence and deep learning recently.

My alma mater is Beijing Jiaotong University.

Here, I encountered a group of excellent teachers and helpful friends
who have supported me greatly and inspired me to pursue a path in artificial intelligence.

I have a great passion for traveling and I want to explore the world on my own feet.

I have a strong curiosity about different cultures in various regions,
so I satisfy my curiosity by reading and learning about the world.

I have always had a keen interest in programming,
so I have been engaging with various aspects of the programming field.

网站前端 人工智能 iOS 服务器 AR/VR 物联网 数据库 Swift Objective-C JavaScript CSS HTML Python C++ PHP Docker Kubernetes Nginx Apache Flask Django 机器学习 Turi Create Create ML 缓存策略 图像分类 图像识别 TensorFlow PIL WordPress HomeKit MLKit UIKit Mapbox SQLAlchemy Vue.js D3.js SCSS LESS Bootstrap NodeJS NPM Yarn PIP CocoaPods Electron jQuery Webpack Babel SVG WebGL Arduino 树莓派 HomeAssistant ARKit C# Unity NoSQL MongoDB Access 关系型数据库 MySQL PostgreSQL SQLite Redis Memcached MapKit CoreAnimation CoreData CloudKit Linux XML GSAP YAML Git AppleScript Microservices Serverless Shell Script TopoJSON GeoJSON JSON Visual Basic 微信小程序 React TypeScript 容器化

Lately, I've been focusing on the field of artificial intelligence.

It enables efficient completion of tasks
that would otherwise be challenging using alternative methods

Non-touch Motion-robust Vital Sign Monitoring via UWB radar based on Deep Learning

UWB radar technology is used to collect user data (such as heart rate, respiratory rate, action state, etc.) to realize physical sign monitoring. Due to the existence of various interference factors in the data collection process, the correct rate is low and the difference from the real value is large. The project is expected to use other data, such as direction, angle, height, weight, age, distance, dynamic and static conditions, etc, the responsible contents of correcting the collected radar heart rate to a certain extent.

VR environment action safety platform

In VR games, users can get a more realistic game experience, but because users are in a virtual environment, they can easily ignore the actual environment around them, which may cause some dangerous actions and cause themselves to be injured. Therefore, we want to develop a system that can recognize and predict the user's actions and alert the user not to perform related dangerous actions when injury may occur.

Task Offloading in Multi-access Edge Computing

还没开始写,嘿嘿,先占个位

Here’s everything you need
to know more about me.

My Speech

Presentation of my research paper

Watch the video: BILIBILI

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