diff --git a/Demos.md b/Demos.md
index f0cae82..3da82e9 100644
--- a/Demos.md
+++ b/Demos.md
@@ -14,9 +14,9 @@ All demos are included in `/demo` and come with individual documentation per-dem
 - **Multi-thread** [[*Live*]](https://vladmandic.github.io/human/demo/multithread/index.html) [[*Details*]](https://github.com/vladmandic/human/tree/main/demo/multithread): Runs each Human module in a separate web worker for highest possible performance  
 - **NextJS** [[*Live*]](https://vladmandic.github.io/human-next/out/index.html) [[*Details*]](https://github.com/vladmandic/human-next): Use Human with TypeScript, NextJS and ReactJS
 - **ElectronJS** [[*Details*]](https://github.com/vladmandic/human-electron): Use Human with TypeScript and ElectonJS to create standalone cross-platform apps
-- **3D Analysis** [[*Live*]](https://vladmandic.github.io/human-motion/src/index.html) [[*Details*]](https://github.com/vladmandic/human-motion): 3D tracking and visualization of heead, face, eye, body and hand
-- **Avatar Bone Mapping** [[*Live*]](https://vladmandic.github.io/human-vrm/src/human-avatar.html) [[*Details*]](https://github.com/vladmandic/human-avatar): Human skeleton with full bone mapping using look and inverse kinematics controllers
-- **Virtual Model Tracking** [[*Live*]](https://vladmandic.github.io/human-vrm/src/human-vrm.html) [[*Details*]](https://github.com/vladmandic/human-vrm): VR model with head, face, eye, body and hand tracking  
+- **3D Analysis with BabylonJS** [[*Live*]](https://vladmandic.github.io/human-motion/src/index.html) [[*Details*]](https://github.com/vladmandic/human-motion): 3D tracking and visualization of heead, face, eye, body and hand
+- **VRM Virtual Model Tracking with Three.JS** [[*Live*]](https://vladmandic.github.io/human-three-vrm/src/human-vrm.html) [[*Details*]](https://github.com/vladmandic/human-three-vrm): VR model with head, face, eye, body and hand tracking  
+- **VRM Virtual Model Tracking with BabylonJS** [[*Live*]](https://vladmandic.github.io/human-bjs-vrm/src/index.html) [[*Details*]](https://github.com/vladmandic/human-bjs-vrm): VR model with head, face, eye, body and hand tracking  
 
 ## NodeJS Demos
 
diff --git a/Home.md b/Home.md
index 469117f..f2383bc 100644
--- a/Home.md
+++ b/Home.md
@@ -1,31 +1,40 @@
+![Git Version](https://img.shields.io/github/package-json/v/vladmandic/human?style=flat-square&svg=true&label=git)
+![NPM Version](https://img.shields.io/npm/v/@vladmandic/human.png?style=flat-square)
+![Last Commit](https://img.shields.io/github/last-commit/vladmandic/human?style=flat-square&svg=true)
+![License](https://img.shields.io/github/license/vladmandic/human?style=flat-square&svg=true)
+![GitHub Status Checks](https://img.shields.io/github/checks-status/vladmandic/human/main?style=flat-square&svg=true)
+![Vulnerabilities](https://img.shields.io/snyk/vulnerabilities/github/vladmandic/human?style=flat-square&svg=true)
+
 # Human Library
 
 **AI-powered 3D Face Detection & Rotation Tracking, Face Description & Recognition,**  
 **Body Pose Tracking, 3D Hand & Finger Tracking, Iris Analysis,**  
 **Age & Gender & Emotion Prediction, Gaze Tracking, Gesture Recognition, Body Segmentation**  
 
+JavaScript module using TensorFlow/JS Machine Learning library  
+## Highlights
+
+- Compatible with most server-side and client-side environments and frameworks  
+- Combines multiple machine learning models which can be switched on-demand depending on the use-case  
+- Related models are executed in an attention pipeline to provide details when needed  
+- Optimized input pre-processing that can enhance image quality of any type of inputs  
+- Detection of frame changes to trigger only required models for improved performance  
+- Intelligent temporal interpolation to provide smooth results regardless of processing performance  
+- Simple unified API  
+
 <br>
 
-JavaScript module using TensorFlow/JS Machine Learning library  
+## Compatibility
 
 - **Browser**:  
   Compatible with both desktop and mobile platforms  
   Compatible with *CPU*, *WebGL*, *WASM* backends  
-  Compatible with *WebWorker* execution
+  Compatible with *WebWorker* execution  
+  Compatible with *WebView*  
 - **NodeJS**:  
-  Compatible with both software *tfjs-node* and  
-  GPU accelerated backends *tfjs-node-gpu* using CUDA libraries  
-
-<br>
-
-*Check out [**Simple Live Demo**](https://vladmandic.github.io/human/demo/typescript/index.html) fully annotated app as a good start starting point ([html](https://github.com/vladmandic/human/blob/main/demo/typescript/index.html))([code](https://github.com/vladmandic/human/blob/main/demo/typescript/index.ts))*  
-
-*Check out [**Main Live Demo**](https://vladmandic.github.io/human/demo/index.html) app for advanced processing of of webcam, video stream or images static images with all possible tunable options*  
-
-- To start video detection, simply press *Play*  
-- To process images, simply drag & drop in your Browser window  
-- Note: For optimal performance, select only models you'd like to use
-- Note: If you have modern GPU, WebGL (default) backend is preferred, otherwise select WASM backend
+  Compatibile with *WASM* backend for executions on architectures where *tensorflow* binaries are not available  
+  Compatible with *tfjs-node* using software execution via *tensorflow* shared libraries  
+  Compatible with *tfjs-node* using GPU-accelerated execution via *tensorflow* shared libraries and nVidia CUDA  
 
 <br>
 
@@ -34,21 +43,41 @@ JavaScript module using TensorFlow/JS Machine Learning library
 - [NPM Link](https://www.npmjs.com/package/@vladmandic/human)
 ## Demos
 
+*Check out [**Simple Live Demo**](https://vladmandic.github.io/human/demo/typescript/index.html) fully annotated app as a good start starting point ([html](https://github.com/vladmandic/human/blob/main/demo/typescript/index.html))([code](https://github.com/vladmandic/human/blob/main/demo/typescript/index.ts))*  
+
+*Check out [**Main Live Demo**](https://vladmandic.github.io/human/demo/index.html) app for advanced processing of of webcam, video stream or images static images with all possible tunable options*  
+
+- To start video detection, simply press *Play*  
+- To process images, simply drag & drop in your Browser window  
+- Note: For optimal performance, select only models you'd like to use
+- Note: If you have modern GPU, *WebGL* (default) backend is preferred, otherwise select *WASM* backend
+
+<br>
+
+
 - [**List of all Demo applications**](https://github.com/vladmandic/human/wiki/Demos)
-- [**Examples galery**](https://vladmandic.github.io/human/samples/samples.html)
+- [**Live Examples galery**](https://vladmandic.github.io/human/samples/index.html)
 
 ### Browser Demos
 
+*All browser demos are self-contained without any external dependencies*
+
 - **Full** [[*Live*]](https://vladmandic.github.io/human/demo/index.html) [[*Details*]](https://github.com/vladmandic/human/tree/main/demo): Main browser demo app that showcases all Human capabilities
 - **Simple** [[*Live*]](https://vladmandic.github.io/human/demo/typescript/index.html) [[*Details*]](https://github.com/vladmandic/human/tree/main/demo/typescript): Simple demo in WebCam processing demo in TypeScript
+- **Embedded** [[*Live*]](https://vladmandic.github.io/human/demo/video/index.html) [[*Details*]](https://github.com/vladmandic/human/tree/main/video/index.html): Even simpler demo with tiny code embedded in HTML file
 - **Face Match** [[*Live*]](https://vladmandic.github.io/human/demo/facematch/index.html) [[*Details*]](https://github.com/vladmandic/human/tree/main/demo/facematch): Extract faces from images, calculates face descriptors and simmilarities and matches them to known database
 - **Face ID** [[*Live*]](https://vladmandic.github.io/human/demo/faceid/index.html) [[*Details*]](https://github.com/vladmandic/human/tree/main/demo/faceid): Runs multiple checks to validate webcam input before performing face match to faces in IndexDB
-- **Multi-thread** [[*Live*]](https://vladmandic.github.io/human/demo/multithread/index.html) [[*Details*]](https://github.com/vladmandic/human/tree/main/demo/multithread): Runs each `human` module in a separate web worker for highest possible performance  
+- **Multi-thread** [[*Live*]](https://vladmandic.github.io/human/demo/multithread/index.html) [[*Details*]](https://github.com/vladmandic/human/tree/main/demo/multithread): Runs each Human module in a separate web worker for highest possible performance  
+- **NextJS** [[*Live*]](https://vladmandic.github.io/human-next/out/index.html) [[*Details*]](https://github.com/vladmandic/human-next): Use Human with TypeScript, NextJS and ReactJS
+- **ElectronJS** [[*Details*]](https://github.com/vladmandic/human-electron): Use Human with TypeScript and ElectonJS to create standalone cross-platform apps
 - **3D Analysis** [[*Live*]](https://vladmandic.github.io/human-motion/src/index.html) [[*Details*]](https://github.com/vladmandic/human-motion): 3D tracking and visualization of heead, face, eye, body and hand
-- **Virtual Avatar** [[*Live*]](https://vladmandic.github.io/human-vrm/src/human-vrm.html) [[*Details*]](https://github.com/vladmandic/human-vrm): VR model with head, face, eye, body and hand tracking  
+- **Virtual Model Tracking** [[*Live*]](https://vladmandic.github.io/human-vrm/src/human-vrm.html) [[*Details*]](https://github.com/vladmandic/human-vrm): VR model with head, face, eye, body and hand tracking  
 
 ### NodeJS Demos
 
+*NodeJS demos may require extra dependencies which are used to decode inputs*  
+*See header of each demo to see its dependencies as they are not automatically installed with `Human`*
+
 - **Main** [[*Details*]](https://github.com/vladmandic/human/tree/main/demo/nodejs): Process images from files, folders or URLs using native methods  
 - **Canvas** [[*Details*]](https://github.com/vladmandic/human/tree/main/demo/nodejs): Process image from file or URL and draw results to a new image file using `node-canvas`  
 - **Video** [[*Details*]](https://github.com/vladmandic/human/tree/main/demo/nodejs): Processing of video input using `ffmpeg`  
@@ -58,7 +87,6 @@ JavaScript module using TensorFlow/JS Machine Learning library
 - **Face Match** [[*Details*]](https://github.com/vladmandic/human/tree/main/demo/facematch): Parallel processing of face **match** in multiple child worker threads
 - **Multiple Workers** [[*Details*]](https://github.com/vladmandic/human/tree/main/demo/nodejs): Runs multiple parallel `human` by dispaching them to pool of pre-created worker processes  
 
-
 ## Project pages
 
 - [**Code Repository**](https://github.com/vladmandic/human)
@@ -108,8 +136,8 @@ JavaScript module using TensorFlow/JS Machine Learning library
 
 ## Examples
 
-Visit [Examples galery](https://vladmandic.github.io/human/samples/samples.html) for more examples  
-<https://vladmandic.github.io/human/samples/samples.html>
+Visit [Examples gallery](https://vladmandic.github.io/human/samples/index.html) for more examples  
+<https://vladmandic.github.io/human/samples/index.html>
 
 ![samples](assets/samples.jpg)
 
@@ -142,7 +170,7 @@ and optionally matches detected face with database of known people to guess thei
 
 <br>
 
-2. **Face3D OpenGL Rendering:**  
+2. **3D Rendering:**  
 > [human-motion](https://github.com/vladmandic/human-motion)
 
 ![Face3D](https://github.com/vladmandic/human-motion/raw/main/assets/screenshot-face.jpg)
@@ -151,7 +179,14 @@ and optionally matches detected face with database of known people to guess thei
 
 <br>
 
-3. **VR Model Tracking:**  
+3. **Avatar Bone Mapping:**  
+> [human-avatar](https://github.com/vladmandic/human-avatar)
+
+![Avatar](https://github.com/vladmandic/human-avatar/raw/main/assets/screenshot.jpg)
+
+<br>
+
+4. **VR Model Tracking:**  
 > [human-vrmmotion](https://github.com/vladmandic/human-vrm)
 
 ![VRM](https://github.com/vladmandic/human-vrm/raw/main/assets/human-vrm-screenshot.jpg)
@@ -287,7 +322,7 @@ async function detectVideo() {
 
 async function drawVideo() {
   if (result) { // check if result is available
-    const interpolated = human.next(result); // calculate next interpolated frame
+    const interpolated = human.next(result); // get smoothened result using last-known results
     human.draw.all(outputCanvas, interpolated); // draw the frame
   }
   requestAnimationFrame(drawVideo); // run draw loop
@@ -297,6 +332,23 @@ detectVideo(); // start detection loop
 drawVideo(); // start draw loop
 ```
 
+or same, but using built-in full video processing instead of running manual frame-by-frame loop:
+
+```js
+const human = new Human(); // create instance of Human
+const inputVideo = document.getElementById('video-id');
+const outputCanvas = document.getElementById('canvas-id');
+
+async function drawResults() {
+  const interpolated = human.next(); // get smoothened result using last-known results
+  human.draw.all(outputCanvas, interpolated); // draw the frame
+  requestAnimationFrame(drawVideo); // run draw loop
+}
+
+human.video(inputVideo); // start detection loop which continously updates results
+drawResults(); // start draw loop
+```
+
 And for even better results, you can run detection in a separate web worker thread
 
 <br><hr><br>
@@ -316,7 +368,7 @@ Default models in Human library are:
 - **Object Detection**: CenterNet with MobileNet v3
 
 Note that alternative models are provided and can be enabled via configuration  
-For example, `PoseNet` model can be switched for `BlazePose`, `EfficientPose` or `MoveNet` model depending on the use case  
+For example, body pose detection by default uses `MoveNet Lightning`, but can be switched to `MultiNet Thunder` for higher precision or `Multinet MultiPose` for multi-person detection or even `PoseNet`, `BlazePose` or `EfficientPose` depending on the use case  
 
 For more info, see [**Configuration Details**](https://github.com/vladmandic/human/wiki/Configuration) and [**List of Models**](https://github.com/vladmandic/human/wiki/Models)
 
@@ -328,11 +380,21 @@ For more info, see [**Configuration Details**](https://github.com/vladmandic/hum
 
 <br><hr><br>
 
-`Human` library is written in `TypeScript` [4.5](https://www.typescriptlang.org/docs/handbook/intro.html)  
-Conforming to latest `JavaScript` [ECMAScript version 2021](https://262.ecma-international.org/) standard  
+`Human` library is written in `TypeScript` [4.8](https://www.typescriptlang.org/docs/handbook/intro.html)  
+Conforming to latest `JavaScript` [ECMAScript version 2022](https://262.ecma-international.org/) standard  
 Build target is `JavaScript` [EMCAScript version 2018](https://262.ecma-international.org/11.0/)  
 
 <br>
 
 For details see [**Wiki Pages**](https://github.com/vladmandic/human/wiki)  
 and [**API Specification**](https://vladmandic.github.io/human/typedoc/classes/Human.html)
+
+<br>
+
+![Stars](https://img.shields.io/github/stars/vladmandic/human?style=flat-square&svg=true)
+![Forks](https://badgen.net/github/forks/vladmandic/human)
+![Code Size](https://img.shields.io/github/languages/code-size/vladmandic/human?style=flat-square&svg=true)
+![CDN](https://data.jsdelivr.com/v1/package/npm/@vladmandic/human/badge)<br>
+![Downloads](https://img.shields.io/npm/dw/@vladmandic/human.png?style=flat-square)
+![Downloads](https://img.shields.io/npm/dm/@vladmandic/human.png?style=flat-square)
+![Downloads](https://img.shields.io/npm/dy/@vladmandic/human.png?style=flat-square)