1 code implementation • 7 Aug 2020 • Behnoosh Parsa, Ashis G. Banerjee
We propose a new approach to Human Activity Evaluation (HAE) in long videos using graph-based multi-task modeling.
no code implementations • 7 Dec 2019 • Behnoosh Parsa, Athma Narayanan, Behzad Dariush
In this paper, we propose a novel Spatio-Temporal Pyramid Graph Convolutional Network (ST-PGN) for online action recognition for ergonomic risk assessment that enables the use of features from all levels of the skeleton feature hierarchy.
1 code implementation • 14 Feb 2019 • Behnoosh Parsa, Ekta U. Samani, Rose Hendrix, Cameron Devine, Shashi M. Singh, Santosh Devasia, Ashis G. Banerjee
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 and manufacturing applications.
no code implementations • 11 Jul 2018 • Behnoosh Parsa, Keshav Rajasekaran, Franziska Meier, Ashis G. Banerjee
One of the challenges in model-based control of stochastic dynamical systems is that the state transition dynamics are involved, and it is not easy or efficient to make good-quality predictions of the states.