Method and Implementation of a Bioinspired Polarization-Based Attitude and Heading Reference System by Integration of Polarization Compass and Inertial Sensors

2020 ◽  
Vol 67 (11) ◽  
pp. 9802-9812 ◽  
Author(s):  
Jian Yang ◽  
Tao Du ◽  
Xin Liu ◽  
Ben Niu ◽  
Lei Guo
Keyword(s):  
Reference System ◽  
Inertial Sensors ◽  
Polarization Compass

scholarly journals Attitude Heading Reference System Using MEMS Inertial Sensors with Dual-Axis Rotation

Sensors ◽  
2014 ◽  
Vol 14 (10) ◽  
pp. 18075-18095 ◽  
Author(s):  
Li Kang ◽  
Lingyun Ye ◽  
Kaichen Song ◽  
Yang Zhou
Keyword(s):  
Reference System ◽  
Inertial Sensors ◽  
Axis Rotation

Assimilation-error in tool use as a question of reference system

2011 ◽  
Author(s):  
S. Ladwig ◽  
C. Sutter ◽  
J. Musseler ◽  
K. Wendler ◽  
F. Bade
Keyword(s):  
Tool Use ◽  
Reference System

Deadlift Recognition and Application based on Multiple Modalities using Recurrent Neural Network

2020 ◽  
Vol 2020 (17) ◽  
pp. 2-1-2-6
Author(s):  
Shih-Wei Sun ◽  
Ting-Chen Mou ◽  
Pao-Chi Chang
Keyword(s):  
Neural Network ◽  
Recurrent Neural Network ◽  
Network Structure ◽  
Inertial Sensors ◽  
Body Movement ◽  
The Body ◽  
Body Parts ◽  
Multimodal Sensing ◽  
Multiple Devices ◽  
Neural Network Structure

To improve the workout efficiency and to provide the body movement suggestions to users in a “smart gym” environment, we propose to use a depth camera for capturing a user’s body parts and mount multiple inertial sensors on the body parts of a user to generate deadlift behavior models generated by a recurrent neural network structure. The contribution of this paper is trifold: 1) The multimodal sensing signals obtained from multiple devices are fused for generating the deadlift behavior classifiers, 2) the recurrent neural network structure can analyze the information from the synchronized skeletal and inertial sensing data, and 3) a Vaplab dataset is generated for evaluating the deadlift behaviors recognizing capability in the proposed method.

A Preliminary Framework and Feasibility Study for Spacecraft Disturbance Source Detection and Isolation with Distributed Inertial Sensors

2021 ◽  
Author(s):  
Adam Augustyniak ◽  
David J. Hanley ◽  
Timothy W. Bretl ◽  
Neil J. Hejmanowski ◽  
David L. Carroll
Keyword(s):  
Feasibility Study ◽  
Inertial Sensors ◽  
Source Detection ◽  
Disturbance Source
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