Posture Recognition Node Overview

Posture Recognition Node Overview

The Posture Recognition Node detects and tracks the movement of people to identify a person's posture.

Input, Output and Supported Architecture
  1. Input: Group Keypoint Detection output message and stream or Video Feed output stream
  2. Output: MQTT message including the posture recognition results
  3. Supported architecture: Currently supported on amd64 devices
Node Parameters
The following parameters are used in the posture recognition node.

Name: Input the node name used in a specific flow.
  1. default: posture recognition
  2. type: string
Threshold: Defines the confidence threshold to output one of the classes (default: 0.5).

The posture recognition node identifies and classifies three classes:
  1. sitting
  2. lying
  3. standing
The Neural Network was trained by using public datasets.

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