> For the complete documentation index, see [llms.txt](https://posetracker.gitbook.io/posetracker-api/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://posetracker.gitbook.io/posetracker-api/use-posetracker-on-real-time-camera-webcam/tracking-endpoint-message-to-handle/exercise-placement.md).

# Exercise Placement

[Click here ](/posetracker-api/use-posetracker-on-real-time-camera-webcam/tracking-endpoint-message-to-handle.md)to understand how you receive this informations

To analyze the user's motion and posture accurately, all movements require specific starting postures. These requirements may include being directly in front of the camera, ensuring all body parts are visible, or positioning the left side of the body towards the camera.

Data composition for `type: 'posture'`

```json
{
  "type": "posture",
  "message": "Face the camera. Keep your full body in frame.",
  "direction": "in-frame",
  "ready": false,
  "requirements": ["full_body_visible"]
}
```

We recommend assisting your users in positioning themselves by providing on-screen information such as shapes or directional arrows.

![](/files/73LBmEiWMFJuv765OGLE)


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://posetracker.gitbook.io/posetracker-api/use-posetracker-on-real-time-camera-webcam/tracking-endpoint-message-to-handle/exercise-placement.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
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Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
