diff --git a/CHANGELOG.md b/CHANGELOG.md
index 180d5eb7..acfcca8a 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -9,7 +9,7 @@
   
 ## Changelog
   
-### **HEAD -> main** 2022/09/13 mandic00@live.com
+### **HEAD -> main** 2022/09/14 mandic00@live.com
 
 
 ### **2.10.2** 2022/09/11 mandic00@live.com
diff --git a/README.md b/README.md
index dcb16b7d..f2383bc5 100644
--- a/README.md
+++ b/README.md
@@ -64,6 +64,7 @@ JavaScript module using TensorFlow/JS Machine Learning library
 
 - **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  
@@ -321,7 +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
@@ -331,6 +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>
diff --git a/TODO.md b/TODO.md
index c5eb3606..226cffd3 100644
--- a/TODO.md
+++ b/TODO.md
@@ -43,5 +43,8 @@ Enable via `about:config` -> `gfx.offscreencanvas.enabled`
 
 ## Pending Release Changes
 
-- Enable model cache when using web workers
-- Improve NodeJS resolver when using ESM
+- New API [`human.video()`](https://vladmandic.github.io/human/typedoc/classes/Human.html#video)  
+  Runs continous detection of an input video instead of processing each frame manually  
+- New simple demo [*Live*](https://vladmandic.github.io/human/demo/video/index.html)
+- Enable model cache when using web workers  
+- Improve NodeJS resolver when using ESM  
diff --git a/demo/video/index.html b/demo/video/index.html
new file mode 100644
index 00000000..54744b9c
--- /dev/null
+++ b/demo/video/index.html
@@ -0,0 +1,68 @@
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="utf-8">
+    <title>Human</title>
+    <meta name="viewport" content="width=device-width" id="viewport">
+    <meta name="keywords" content="Human">
+    <meta name="description" content="Human: 3D Face Detection, Body Pose, Hand & Finger Tracking, Iris Tracking, Age & Gender Prediction, Emotion Prediction & Gesture Recognition; Author: Vladimir Mandic <https://github.com/vladmandic>">
+    <link rel="manifest" href="../manifest.webmanifest">
+    <link rel="shortcut icon" href="../../favicon.ico" type="image/x-icon">
+    <style>
+      @font-face { font-family: 'Lato'; font-display: swap; font-style: normal; font-weight: 100; src: local('Lato'), url('../../assets/lato-light.woff2') }
+      body { font-family: 'Lato', 'Segoe UI'; font-size: 16px; font-variant: small-caps; margin: 0; background: black; color: white; overflow: hidden; width: 100vw; height: 100vh; }
+    </style>
+  </head>
+  <body>
+    <canvas id="canvas" style="margin: 0 auto; width: 100%"></canvas>
+    <video id="video" playsinline style="display: none"></video>
+    <pre id="log" style="padding: 8px"></pre>
+    <script type="module">
+      import * as H from '../../dist/human.esm.js'; // equivalent of import @vladmandic/Human
+
+      const humanConfig = { // user configuration for human, used to fine-tune behavior
+        modelBasePath: '../../models',
+        filter: { enabled: true, equalization: false, flip: false },
+        face: { enabled: true, detector: { rotation: false }, mesh: { enabled: true }, attention: { enabled: false }, iris: { enabled: true }, description: { enabled: true }, emotion: { enabled: true } },
+        body: { enabled: true },
+        hand: { enabled: true },
+        object: { enabled: false },
+        gesture: { enabled: true },
+      };
+      const human = new H.Human(humanConfig); // create instance of human with overrides from user configuration
+      const video = document.getElementById('video');
+      const canvas = document.getElementById('canvas');
+
+      async function webCam() { // initialize webcam
+        const options = { audio: false, video: { facingMode: 'user', resizeMode: 'none', width: { ideal: document.body.clientWidth }, height: { ideal: document.body.clientHeight } } }; // set ideal webcam video properties
+        const stream = await navigator.mediaDevices.getUserMedia(options); // find webcam stream that best matches what we want
+        const videoReady = new Promise((resolve) => { video.onloadeddata = () => resolve(true); });
+        video.srcObject = stream; // assign webcam stream to a video element
+        video.play(); // start webcam
+        await videoReady; // wait for video ready
+        canvas.width = video.videoWidth; // set canvas resolution to input webcam native resolution
+        canvas.height = video.videoHeight;
+        canvas.onclick = () => { // pause when clicked on screen and resume on next click
+          if (video.paused) void video.play();
+          else video.pause();
+        };
+      }
+
+      async function drawLoop() { // main screen refresh loop
+        human.draw.canvas(video, canvas); // draw original video to screen canvas // better than using procesed image as this loop happens faster than processing loop
+        const interpolated = human.next(); // get smoothened result using last-known results
+        await human.draw.all(canvas, interpolated); // draw labels, boxes, lines, etc.
+        setTimeout(drawLoop, 30); // use to slow down refresh from max refresh rate to target of 30 fps
+      }
+
+      async function main() { // main entry point
+        document.getElementById('log').innerHTML = `human version: ${human.version} | tfjs version: ${human.tf.version['tfjs-core']}<br>platform: ${human.env.platform} | agent ${human.env.agent}<br>`;
+        await webCam(); // start webcam
+        human.video(video); // instruct human to detect video frames
+        await drawLoop(); // start draw loop
+      }
+
+      window.onload = main;
+    </script>  
+  </body>
+</html>
diff --git a/package.json b/package.json
index 5641c3e5..a97f338d 100644
--- a/package.json
+++ b/package.json
@@ -66,9 +66,9 @@
     "tensorflow"
   ],
   "devDependencies": {
-    "@html-eslint/eslint-plugin": "^0.13.2",
-    "@html-eslint/parser": "^0.13.2",
-    "@microsoft/api-extractor": "^7.31.0",
+    "@html-eslint/eslint-plugin": "^0.14.1",
+    "@html-eslint/parser": "^0.14.0",
+    "@microsoft/api-extractor": "^7.31.1",
     "@tensorflow/tfjs": "^3.20.0",
     "@tensorflow/tfjs-backend-cpu": "^3.20.0",
     "@tensorflow/tfjs-backend-wasm": "^3.20.0",
diff --git a/src/human.ts b/src/human.ts
index 0fce3fad..35ee2f18 100644
--- a/src/human.ts
+++ b/src/human.ts
@@ -551,6 +551,35 @@ export class Human {
       resolve(this.result);
     });
   }
+
+  /** Helper function
+   * @param ms - sleep time in miliseconds
+   */
+  async sleep(ms: number): Promise<void> { // eslint-disable-line class-methods-use-this
+    return new Promise((resolve) => { setTimeout(resolve, ms); });
+  }
+
+  /** internal structure that keeps track of processed videos @hidden */
+  #loops: Record<string, boolean> = {};
+  /** Continously detect video frames
+   * @param element - HTMLVideoElement input
+   * @param run - boolean run continously or stop if already running, default true
+   * @param delay - number delay detection between frames for number of miliseconds, default 0
+   */
+  async video(element: HTMLVideoElement, run: boolean = true, delay: number = 0) {
+    if (run) {
+      if (!this.#loops[element.id]) {
+        if (this.config.debug) log('video start', element.id);
+        this.#loops[element.id] = true;
+      }
+      if (!element.paused && this.#loops[element.id] && (element.readyState >= 2)) await this.detect(element);
+      if (delay > 0) await this.sleep(delay);
+      if (this.#loops[element.id]) requestAnimationFrame(() => this.video(element, run, delay));
+    } else {
+      if (this.config.debug) log('video stop', element.id);
+      this.#loops[element.id] = false;
+    }
+  }
 }
 
 /** Class Human as default export */
diff --git a/test/build.log b/test/build.log
index 9fc75efa..9bfeaa36 100644
--- a/test/build.log
+++ b/test/build.log
@@ -1,39 +1,39 @@
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diff --git a/test/test.log b/test/test.log
index 5e7a8c14..0ebba379 100644
--- a/test/test.log
+++ b/test/test.log
@@ -1,999 +1,999 @@
-2022-09-14 11:37:37 [36mINFO: [39m @vladmandic/human version 2.10.2 
-2022-09-14 11:37:37 [36mINFO: [39m User: vlado Platform: linux Arch: x64 Node: v18.1.0 
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-2022-09-14 11:37:42 [36mINFO: [39m {"cmd":"../demo/nodejs/node-event.js","args":["samples/in/ai-body.jpg"]} start 
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-2022-09-14 11:37:43 [36mINFO: [39m {"cmd":"../demo/nodejs/node-canvas.js","args":["samples/in/ai-body.jpg","samples/out/ai-body.jpg"]} start 
-2022-09-14 11:37:44 [36mINFO: [39m {"cmd":"../demo/multithread/node-multiprocess.js","args":[]} start 
-2022-09-14 11:37:44 [36mINFO: [39m {"cmd":"../demo/facematch/node-match.js","args":[]} start 
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-2022-09-14 11:37:49 [35mSTATE:[39m test-backend-node.js passed: create human 
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-2022-09-14 11:37:49 [35mSTATE:[39m test-backend-node.js passed: set backend: tensorflow 
-2022-09-14 11:37:49 [35mSTATE:[39m test-backend-node.js tensors 1921 
-2022-09-14 11:37:49 [35mSTATE:[39m test-backend-node.js passed: load models 
-2022-09-14 11:37:49 [35mSTATE:[39m test-backend-node.js  result: defined models: 23 loaded models: 12 
-2022-09-14 11:37:49 [35mSTATE:[39m test-backend-node.js passed: warmup: none default 
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-2022-09-14 11:37:49 [32mDATA: [39m test-backend-node.js  result: performance: load: null total: null 
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-2022-09-14 11:37:49 [32mDATA: [39m test-backend-node.js  result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.5,"gender":"female"} {"score":0.82,"class":"person"} {"score":0.42,"keypoints":4} 
-2022-09-14 11:37:49 [32mDATA: [39m test-backend-node.js  result: performance: load: null total: 360 
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-2022-09-14 11:37:49 [35mSTATE:[39m test-backend-node.js passed: warmup: body default 
-2022-09-14 11:37:49 [32mDATA: [39m test-backend-node.js  result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} 
-2022-09-14 11:37:49 [32mDATA: [39m test-backend-node.js  result: performance: load: null total: 259 
-2022-09-14 11:37:49 [35mSTATE:[39m test-backend-node.js passed: warmup body result match 
-2022-09-14 11:37:49 [35mSTATE:[39m test-backend-node.js details: {"face":{"boxScore":0.92,"faceScore":1,"age":23.7,"gender":"female","genderScore":0.97},"emotion":[{"score":0.63,"emotion":"angry"},{"score":0.22,"emotion":"fear"}],"body":{"score":0.92,"keypoints":17},"hand":{"boxScore":0.52,"fingerScore":0.73,"keypoints":21},"gestures":[{"face":0,"gesture":"facing right"},{"face":0,"gesture":"mouth 10% open"},{"hand":0,"gesture":"pinky forward"},{"hand":0,"gesture":"palm up"},{"hand":0,"gesture":"open palm"},{"iris":0,"gesture":"looking left"},{"iris":0,"gesture":"looking up"}]} 
-2022-09-14 11:37:49 [36mINFO: [39m test-backend-node.js test: details verification 
-2022-09-14 11:37:49 [35mSTATE:[39m test-backend-node.js start default 
-2022-09-14 11:37:50 [35mSTATE:[39m test-backend-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} 
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-2022-09-14 11:37:50 [35mSTATE:[39m test-backend-node.js passed: detect: samples/in/ai-body.jpg default 
-2022-09-14 11:37:50 [32mDATA: [39m test-backend-node.js  result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} 
-2022-09-14 11:37:50 [32mDATA: [39m test-backend-node.js  result: performance: load: null total: 228 
-2022-09-14 11:37:50 [35mSTATE:[39m test-backend-node.js passed: details face length 1 
-2022-09-14 11:37:50 [35mSTATE:[39m test-backend-node.js passed: details face score 1 0.93 1 
-2022-09-14 11:37:50 [35mSTATE:[39m test-backend-node.js passed: details face age/gender 23.7 female 0.97 85.47 
-2022-09-14 11:37:50 [35mSTATE:[39m test-backend-node.js passed: details face arrays 4 478 1024 
-2022-09-14 11:37:50 [35mSTATE:[39m test-backend-node.js passed: details face emotion 2 {"score":0.59,"emotion":"angry"} 
-2022-09-14 11:37:50 [35mSTATE:[39m test-backend-node.js passed: details face anti-spoofing 0.79 
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-2022-09-14 11:37:50 [35mSTATE:[39m test-backend-node.js passed: details body 0.92 17 6 
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-2022-09-14 11:37:50 [35mSTATE:[39m test-backend-node.js passed: details hand 0.51 0.73 point 
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-2022-09-14 11:37:52 [35mSTATE:[39m test-backend-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,4] {"checksum":1371996871} 
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-2022-09-14 11:37:53 [35mSTATE:[39m test-backend-node.js passed: face similarity {"similarity":[1,0.44727452329649126,0.5567935850640406],"descriptors":[1024,1024,1024]} 
-2022-09-14 11:37:53 [36mINFO: [39m test-backend-node.js test object 
-2022-09-14 11:37:53 [35mSTATE:[39m test-backend-node.js start object 
-2022-09-14 11:37:54 [35mSTATE:[39m test-backend-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} 
-2022-09-14 11:37:54 [35mSTATE:[39m test-backend-node.js event: image 
-2022-09-14 11:37:54 [35mSTATE:[39m test-backend-node.js event: detect 
-2022-09-14 11:37:54 [35mSTATE:[39m test-backend-node.js passed: detect: samples/in/ai-body.jpg object 
-2022-09-14 11:37:54 [32mDATA: [39m test-backend-node.js  result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} 
-2022-09-14 11:37:54 [32mDATA: [39m test-backend-node.js  result: performance: load: null total: 211 
-2022-09-14 11:37:54 [35mSTATE:[39m test-backend-node.js passed: centernet 
-2022-09-14 11:37:54 [35mSTATE:[39m test-backend-node.js start object 
-2022-09-14 11:37:55 [35mSTATE:[39m test-backend-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} 
-2022-09-14 11:37:55 [35mSTATE:[39m test-backend-node.js event: image 
-2022-09-14 11:37:55 [35mSTATE:[39m test-backend-node.js event: detect 
-2022-09-14 11:37:55 [35mSTATE:[39m test-backend-node.js passed: detect: samples/in/ai-body.jpg object 
-2022-09-14 11:37:55 [32mDATA: [39m test-backend-node.js  result: face: 1 body: 1 hand: 1 gesture: 7 object: 3 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.86,"class":"person"} {"score":0.92,"keypoints":17} 
-2022-09-14 11:37:55 [32mDATA: [39m test-backend-node.js  result: performance: load: null total: 221 
-2022-09-14 11:37:55 [35mSTATE:[39m test-backend-node.js passed: nanodet 
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-2022-09-14 11:37:55 [35mSTATE:[39m test-backend-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} 
-2022-09-14 11:37:55 [35mSTATE:[39m test-backend-node.js event: image 
-2022-09-14 11:37:55 [35mSTATE:[39m test-backend-node.js event: detect 
-2022-09-14 11:37:55 [35mSTATE:[39m test-backend-node.js passed: detect: samples/in/ai-body.jpg sensitive 
-2022-09-14 11:37:55 [32mDATA: [39m test-backend-node.js  result: face: 1 body: 1 hand: 2 gesture: 9 object: 0 person: 1 {"score":1,"age":23.7,"gender":"female"} {} {"score":0.92,"keypoints":17} 
-2022-09-14 11:37:55 [32mDATA: [39m test-backend-node.js  result: performance: load: null total: 175 
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-2022-09-14 11:37:55 [35mSTATE:[39m test-backend-node.js passed: sensitive face emotion result [{"score":0.59,"emotion":"angry"},{"score":0.29,"emotion":"fear"}] 
-2022-09-14 11:37:55 [35mSTATE:[39m test-backend-node.js passed: sensitive body result match 
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-2022-09-14 11:37:55 [36mINFO: [39m test-backend-node.js test body 
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-2022-09-14 11:37:58 [35mSTATE:[39m test-backend-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} 
-2022-09-14 11:37:58 [35mSTATE:[39m test-backend-node.js event: image 
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-2022-09-14 11:37:58 [35mSTATE:[39m test-backend-node.js passed: detect: samples/in/ai-body.jpg blazepose 
-2022-09-14 11:37:58 [32mDATA: [39m test-backend-node.js  result: face: 1 body: 1 hand: 2 gesture: 9 object: 0 person: 1 {"score":1,"age":23.7,"gender":"female"} {} {"score":0.99,"keypoints":39} 
-2022-09-14 11:37:58 [32mDATA: [39m test-backend-node.js  result: performance: load: null total: 233 
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-2022-09-14 11:37:58 [35mSTATE:[39m test-backend-node.js start efficientpose 
-2022-09-14 11:37:59 [35mSTATE:[39m test-backend-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} 
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-2022-09-14 11:37:59 [35mSTATE:[39m test-backend-node.js passed: detect: samples/in/ai-body.jpg efficientpose 
-2022-09-14 11:37:59 [32mDATA: [39m test-backend-node.js  result: face: 1 body: 1 hand: 2 gesture: 9 object: 0 person: 1 {"score":1,"age":23.7,"gender":"female"} {} {"score":0.75,"keypoints":13} 
-2022-09-14 11:37:59 [32mDATA: [39m test-backend-node.js  result: performance: load: null total: 251 
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-2022-09-14 11:37:59 [35mSTATE:[39m test-backend-node.js start posenet 
-2022-09-14 11:38:00 [35mSTATE:[39m test-backend-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} 
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-2022-09-14 11:38:00 [35mSTATE:[39m test-backend-node.js passed: detect: samples/in/ai-body.jpg posenet 
-2022-09-14 11:38:00 [32mDATA: [39m test-backend-node.js  result: face: 1 body: 1 hand: 2 gesture: 9 object: 0 person: 1 {"score":1,"age":23.7,"gender":"female"} {} {"score":0.96,"keypoints":16} 
-2022-09-14 11:38:00 [32mDATA: [39m test-backend-node.js  result: performance: load: null total: 186 
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-2022-09-14 11:38:00 [35mSTATE:[39m test-backend-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} 
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-2022-09-14 11:38:00 [35mSTATE:[39m test-backend-node.js passed: detect: samples/in/ai-body.jpg movenet 
-2022-09-14 11:38:00 [32mDATA: [39m test-backend-node.js  result: face: 1 body: 1 hand: 2 gesture: 9 object: 0 person: 1 {"score":1,"age":23.7,"gender":"female"} {} {"score":0.92,"keypoints":17} 
-2022-09-14 11:38:00 [32mDATA: [39m test-backend-node.js  result: performance: load: null total: 194 
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-2022-09-14 11:38:00 [36mINFO: [39m test-backend-node.js test face matching 
-2022-09-14 11:38:00 [35mSTATE:[39m test-backend-node.js passed: face database 40 
-2022-09-14 11:38:00 [35mSTATE:[39m test-backend-node.js passed: face match {"first":{"index":4,"similarity":0.7827852615252829}} {"second":{"index":4,"similarity":0.5002052633015844}} {"third":{"index":4,"similarity":0.5401587887998899}} 
-2022-09-14 11:38:00 [36mINFO: [39m test-backend-node.js test face similarity alternative 
-2022-09-14 11:38:00 [35mSTATE:[39m test-backend-node.js start face embeddings 
-2022-09-14 11:38:01 [35mSTATE:[39m test-backend-node.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} 
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-2022-09-14 11:38:01 [35mSTATE:[39m test-backend-node.js passed: detect: samples/in/ai-face.jpg face embeddings 
-2022-09-14 11:38:01 [32mDATA: [39m test-backend-node.js  result: face: 1 body: 1 hand: 2 gesture: 8 object: 0 person: 1 {"score":1,"age":23.5,"gender":"female"} {} {"score":0.47,"keypoints":3} 
-2022-09-14 11:38:01 [32mDATA: [39m test-backend-node.js  result: performance: load: null total: 203 
-2022-09-14 11:38:01 [35mSTATE:[39m test-backend-node.js passed: mobilefacenet {"embedding":192} 
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-2022-09-14 11:38:03 [35mSTATE:[39m test-backend-node.js passed: detect: samples/in/ai-face.jpg face attention 
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-2022-09-14 11:38:03 [32mDATA: [39m test-backend-node.js  result: performance: load: null total: 183 
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-2022-09-14 11:38:03 [35mSTATE:[39m test-backend-node.js passed: detect: samples/in/ai-body.jpg detectors 
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-2022-09-14 11:38:03 [35mSTATE:[39m test-backend-node.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} 
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-2022-09-14 11:38:12 [35mSTATE:[39m test-backend-node-gpu.js details: {"face":{"boxScore":0.92,"faceScore":1,"age":23.7,"gender":"female","genderScore":0.97},"emotion":[{"score":0.63,"emotion":"angry"},{"score":0.22,"emotion":"fear"}],"body":{"score":0.92,"keypoints":17},"hand":{"boxScore":0.52,"fingerScore":0.73,"keypoints":21},"gestures":[{"face":0,"gesture":"facing right"},{"face":0,"gesture":"mouth 10% open"},{"hand":0,"gesture":"pinky forward"},{"hand":0,"gesture":"palm up"},{"hand":0,"gesture":"open palm"},{"iris":0,"gesture":"looking left"},{"iris":0,"gesture":"looking up"}]} 
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+2022-09-17 17:19:41 [32mDATA: [39m test-backend-node-wasm.js  result: face: 1 body: 1 hand: 1 gesture: 0 object: 0 person: 1 {"score":0.93,"gender":"unknown"} {} {"score":0.92,"keypoints":17} 
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+2022-09-17 17:19:41 [35mSTATE:[39m test-backend-node-wasm.js passeed: equal usage 
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+2022-09-17 17:19:41 [35mSTATE:[39m test-backend-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} 
+2022-09-17 17:19:41 [35mSTATE:[39m test-backend-node-wasm.js passed: image compare 0 23.280073018790848 
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+2022-09-17 17:19:41 [36mINFO: [39m   status {"test":"test-node-gear.js","passed":3,"failed":0} 
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+2022-09-17 17:19:41 [36mINFO: [39m   status {"test":"test-backend-node-gpu.js","passed":125,"failed":0} 
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+2022-09-17 17:19:41 [36mINFO: [39m failures {"count":2} 
+2022-09-17 17:19:41 [33mWARN: [39m   failed {"test":"test-backend-node-wasm.js","message":["error",["failed: nanodet",[]]]} 
+2022-09-17 17:19:41 [33mWARN: [39m   failed {"test":"test-backend-node-wasm.js","message":["error",["failed: face attention",{"annotations":0}]]} 
diff --git a/wiki b/wiki
index 9785618d..7a9a68dc 160000
--- a/wiki
+++ b/wiki
@@ -1 +1 @@
-Subproject commit 9785618d94c8eb325fefbf8ca1212359b5c913d6
+Subproject commit 7a9a68dc4dbbc06c82324266c9a31d9fe037cf3b
