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Use of Body Model Constraints to Improve Accuracy of Inertial Motion Capture
2010 International Conference on Body Sensor Networks, 2010Presents 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
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On Natural Motion Processing using Inertial Motion Capture and Deep Learning
2020To 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.
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Real-Time Human Motion Capture Based on Wearable Inertial Sensor Networks
IEEE Internet of Things Journal, 2022Sen Qiu, Zhelong Wang
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Validity of the Perception Neuron inertial motion capture system for upper body motion analysis
Measurement: Journal of the International Measurement Confederation, 2020Steph Forrester +2 more
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An optimization-based approach to human body motion capture using inertial sensors
IFAC Postprint Volumes IPPV / International Federation of Automatic Control, 2014Thomas B Schön, Manon Kok, Jeroen D Hol
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