Search Results for author: Behnoosh Parsa

Found 4 papers, 2 papers with code

A Multi-Task Learning Approach for Human Activity Segmentation and Ergonomics Risk Assessment

1 code implementation7 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.

Action Detection Multi-Task Learning

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

no code implementations7 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.

Action Recognition

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

1 code implementation14 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.

Action Segmentation

A Hierarchical Bayesian Linear Regression Model with Local Features for Stochastic Dynamics Approximation

no code implementations11 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.

Model-based Reinforcement Learning

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