Ergonomics

Ergonomics metrics: REBA score

Installation

pip install ergonomics-metrics

Example

from ergonomics.reba import RebaScore
import requests
import numpy as np
import json

url = 'https://www.dropbox.com/s/e72lwn9n9gkoygj/ergonomics.json?dl=1'
r = requests.get(url)
sample_pose = np.array(r.json()['sample_pose'])

rebaScore = RebaScore()

body_params = rebaScore.get_body_angles_from_pose_right(sample_pose)
arms_params = rebaScore.get_arms_angles_from_pose_right(sample_pose)

rebaScore.set_body(body_params)
score_a, partial_a = rebaScore.compute_score_a()

rebaScore.set_arms(arms_params)
score_b, partial_b = rebaScore.compute_score_b()

score_c, caption = rebaScore.compute_score_c(score_a, score_b)

print("Score A: ", score_a, "Partial: ", partial_a)
print("Score A: ", score_b, "Partial: ", partial_b)
print("Score C: ", score_c, caption)

Input pose

The input pose is a 13+2 joints representing X,Y,Z coordinates relative to the root joint.

[0] = Head
[1] = Nose
[2, 3, 4, 14]: Left Shoulder, Elbow, Wrist + Hand (optional)
[5, 6, 7, 15]: Right Shoulder, Elbow, Wrist + Hand (optional)
[8, 9, 10]: Left Hip, Knee, Ankle
[11, 12, 13]: Right Hip, Knee, Ankle

The root joint has coordinates (0,0,0) and can be arbitrarily chosen from the 15 joints in the pose. During the calculation of the REBA score the root joint will be automatically set to the point of coordinates: (Lhip + Rhip)/2.

Output

Pose Left

Neck Score: 2
Trunk Score: 2
Legs Score: 2
Upper Arm Score: 1
Lower Arm Score: 2
Wrist Score: 3

A Score: 4
B Score: 3
C score: 4
REBA score: 4

Pose Right

Neck Score: 2
Trunk Score: 2
Legs Score: 2
Upper Arm Score: 1
Lower Arm Score: 2
Wrist Score: 2

A Score: 4
B Score: 2
C score: 4
REBA score: 4

Rank
[0]'Negligible Risk',
[2-3]'Low Risk. Change may be needed',
[4-7]'Medium Risk. Further Investigate. Change Soon',
[8-10]'High Risk. Investigate and Implement Change',
[11+]'Very High Risk. Implement Change'