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Inertial Motion Capture System with an Adaptive Control Algorithm

2019
Motion capture (MoCap) systems are increasingly used for rehabilitation and diagnostic purposes. However, dissemination of this type of solutions requires further development and reduction of prices, especially for high-precision systems. The paper presents a tested MoCap system architecture, which is based on independent, integrated sensor modules ...
Michał Pielka   +3 more
openaire   +1 more source

Use of Body Model Constraints to Improve Accuracy of Inertial Motion Capture

2010 International Conference on Body Sensor Networks, 2010
Presents simulations of an algorithm for estimating linear acceleration of wireless inertial measurement units based on body model constraints. The behaviour of the proposed algorithm is compared to existing algorithms based on motion capture data from the Carnegie Mellon University motion capture corpus. The new algorithm is demonstrated to be capable
openaire   +1 more source

On Natural Motion Processing using Inertial Motion Capture and Deep Learning

2020
To better design technology that can assist people in their daily lives, it is necessary to better understand how people move and act in the real-world with little to no instruction from researchers. Personal assistants such as Alexa and Google Assistant have benefited from what researchers call natural language processing.
openaire   +1 more source

Real-Time Human Motion Capture Based on Wearable Inertial Sensor Networks

IEEE Internet of Things Journal, 2022
Sen Qiu, Zhelong Wang
exaly  

Validity of the Perception Neuron inertial motion capture system for upper body motion analysis

Measurement: Journal of the International Measurement Confederation, 2020
Steph Forrester   +2 more
exaly  

Estimation of Ground Reaction Forces and Moments During Gait Using Only Inertial Motion Capture

Sensors, 2017
Angelos Karatsidis   +2 more
exaly  

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