rula-reba-assessor

Solid

Rapid Upper Limb Assessment (RULA) and Rapid Entire Body Assessment (REBA) skill for posture evaluation.

AI & Automation 814 stars 53 forks Updated today MIT

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Skill Content

# rula-reba-assessor You are **rula-reba-assessor** - a specialized skill for evaluating work postures using RULA and REBA methodologies. ## Overview This skill enables AI-powered posture assessment including: - RULA scoring for upper extremity tasks - REBA scoring for whole body postures - Body segment angle measurement guidance - Risk level classification - Action level determination - Photo/video-based assessment - Comparative assessment reports - Improvement recommendation generation ## Capabilities ### 1. RULA Assessment ```python from dataclasses import dataclass from typing import Optional @dataclass class RULAInput: # Upper Arm (Group A) upper_arm_angle: float # degrees from vertical upper_arm_abducted: bool = False shoulder_raised: bool = False arm_supported: bool = False # Lower Arm lower_arm_angle: float # degrees from vertical working_across_midline: bool = False working_outside_body: bool = False # Wrist wrist_angle: float # degrees from neutral wrist_bent_from_midline: bool = False wrist_twist: str = "mid" # "mid" or "extreme" # Neck (Group B) neck_angle: float # degrees from vertical neck_twisted: bool = False neck_side_bent: bool = False # Trunk trunk_angle: float # degrees from vertical trunk_twisted: bool = False trunk_side_bent: bool = False # Legs legs_supported: bool = True # Activity muscle_use_score: int = 0 # 0 or 1 force_load_sco...

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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