Improving Full-Body Pose Estimation From a Small Sensor Set Using Artificial Neural Networks and a Kalman Filter

Proceedings of the AAAI Conference on Artificial Intelligence
doi 10.1609/aaai.v33i01.330110063
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Association for the Advancement of Artificial Intelligence (AAAI)

Related search

Amortized Constant Time State Estimation in Pose SLAM and Hierarchical SLAM Using a Mixed Kalman-Information Filter

Robotics and Autonomous Systems
ControlSystems EngineeringSoftwareComputer Science ApplicationsMathematics
2011English

Improving Intrusion Detection Systems Using Artificial Neural Networks

ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal
2018English

Dynamic Security Margin Estimation Using Artificial Neural Networks

English

A Linear Model Based on Kalman Filter for Improving Neural Network Classification Performance

Expert Systems with Applications
EngineeringComputer Science ApplicationsArtificial Intelligence
2016English

Dynamic Mode Decomposition Using a Kalman Filter for Parameter Estimation

AIP Advances
NanotechnologyAstronomyPhysicsNanoscience
2018English

Flare Performance Modeling and Set Point Determination Using Artificial Neural Networks

International Journal of Energy and Environmental Engineering
EnergyEnvironmental Engineering
2019English

Estimation of MIMO Wireless Channels Using Artificial Neural Networks

Advances in Computational Intelligence and Robotics
2012English

Surface Daytime Net Radiation Estimation Using Artificial Neural Networks

Remote Sensing
EarthPlanetary Sciences
2014English

Subjective Air Traffic Complexity Estimation Using Artificial Neural Networks

Promet - Traffic - Traffico
CivilEngineeringOcean EngineeringStructural Engineering
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy