Authors:

Tongwei Zhang

Date Created:

Not specified

Course Title:

Professor:

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About Paper:

The field of occupational health and safety has continually sought innovative strategies to mitigate workplace risks, particularly in high-demand environments such as warehouses. Tasks in these settings often entail a high level of physical intensity, leading to an increased incidence of musculoskeletal injuries. This situation has given rise to an urgent need for effective preventive measures. As we explore potential solutions, Artificial Intelligence (AI) and Machine Learning (ML) have emerged as promising tools with the potential to deliver transformative opportunities to prevent physical injuries in warehouses using 2D cameras. This research capitalizes on the integration of numerous mocap cameras, 8 GoPro Cameras, IMU sensors, and pressure- sensing gloves to gather data from participants simulating the role of a warehouse worker. The data collected serves to train an AI model capable of predicting potential injuries based on 2D images. As part of this research team, my role primarily involves leveraging IMU sensor data to detect actions that might lead to injuries, as well as determine the start and end of pulling, lifting, and pushing tasks at frame intervals.

Source:

Purdue University / 2023

Topics:

No topics listed

Co-authors:

Tongwei Zhang