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20182020
most citedToward Ergonomic Risk Prediction via Segmentation of Indoor Object Manipulation Actions Using Spatiotemporal Convolutional Networks

32 citations · 37 across the 4 of their papers we have counts for

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cs.CV2019

Spatio-Temporal Pyramid Graph Convolutions for Human Action Recognition and Postural Assessment

Behnoosh Parsa, Athma Narayanan, Behzad Dariush

Recognition of human actions and associated interactions with objects and the environment is an important problem in computer vision due to its potential applications in a variety…

cs.RO2019★ 32 cited

Toward Ergonomic Risk Prediction via Segmentation of Indoor Object Manipulation Actions Using Spatiotemporal Convolutional Networks

Behnoosh Parsa, Ekta U. Samani, Rose Hendrix +4

Automated real-time prediction of the ergonomic risks of manipulating objects is a key unsolved challenge in developing effective human-robot collaboration systems for logistics an…