Fusion of Inertial Motion Sensors and Electroencephalogram for Activity Detection

2019 ◽  
pp. 319-326 ◽  
Author(s):  
Ibai Baglietto Araquistain ◽  
Xabier Garmendia ◽  
Manuel Graña ◽  
Javier de Lope Asiain
Keyword(s):  
Motion Sensors ◽  
Activity Detection ◽  
Inertial Motion

Accuracy of Inertial Motion Sensors in Static, Quasistatic, and Complex Dynamic Motion

2009 ◽  
Vol 131 (11) ◽  
Author(s):  
Alison Godwin ◽  
Michael Agnew ◽  
Joan Stevenson
Keyword(s):  
Human Motion ◽  
Three Dimensions ◽  
Motion Sensors ◽  
Inertial Motion ◽  
Dynamic Motion ◽  
Technical Specifications ◽  
Rms Error ◽  
Arm Motion ◽  
Roll Axis ◽  
Better Than

Inertial motion sensors (IMSs) combine three sensors to produce a reportedly stable and accurate orientation estimate in three dimensions. Although accuracy has been reported within the range of 2 deg of error by manufacturers, the sensors are rarely tested in the challenging motion present in human motion. Their accuracy was tested in static, quasistatic, and dynamic situations against gold-standard Vicon camera data. It was found that static and quasistatic rms error was even less than manufacturers’ technical specifications. Quasistatic rms error was minimal at 0.3 deg (±0.15 deg SD) on the roll axis, 0.29 deg (±0.20 deg SD) on the pitch axis, and 0.73 deg (±0.81 deg SD) on the yaw axis. The dynamic rms error was between 1.9 deg and 3.5 deg on the main axes of motion but it increased considerably on off-axis during planar pendulum motion. Complex arm motion in the forward reaching plane proved to be a greater challenge for the sensors to track but results are arguably better than previously reported studies considering the large range of motion used.

Consistent accuracy in whole-body joint kinetics during gait using wearable inertial motion sensors and in-shoe pressure sensors

2015 ◽  
Vol 42 (1) ◽  
pp. 65-69 ◽  
Author(s):  
Tsolmonbaatar Khurelbaatar ◽  
Kyungsoo Kim ◽  
SuKyoung Lee ◽  
Yoon Hyuk Kim
Keyword(s):  
Pressure Sensors ◽  
Whole Body ◽  
Motion Sensors ◽  
Inertial Motion ◽  
Joint Kinetics ◽  
Body Joint

scholarly journals 2G1-1　Accumulation and Visualization of Low Back Load during Working using Inertial Motion Sensors

2016 ◽  
Vol 52 (Supplement) ◽  
pp. S416-S417
Author(s):  
Yutaka FUKUI ◽  
Tsuneo KAWANO
Keyword(s):  
Motion Sensors ◽  
Low Back ◽  
Inertial Motion

scholarly journals Smart Security System for Suspicious Activity Detection in Volatile Areas

2020 ◽  
Vol 02 (01) ◽  
pp. 64-72 ◽  
Author(s):  
Dr. Joy Iong Zong Chen
Keyword(s):  
Identification System ◽  
Motion Sensors ◽  
Activity Detection ◽  
Protective Measures ◽  
Video Recordings ◽  
Military Regimes ◽  
Single Person ◽  
Enormous Amount ◽  
The Face ◽  
Scope Of Application

The latest progress in the technology has led to automation and digitization in almost every fields, and has influenced a wide scope of application. This has caused enormous amount of data flow from each sectors, where the information contained in the data acts as the important component for the progress of the single person, organization, state, country and so on. These data with valuable information can be used in the constructive and the destructive perceptive based on the hands that handle it. So protective measures become very essential for preserving the data from unwanted access. This paves for developing a system to identify the suspicious movement in the volatile areas like military regimes, hospitals and financial organizations to safe the data. The method put forward in the paper incorporates the motion sensors and the face identification system to detect the suspicious activities and report to the lawful person. The algorithm for the system was developed using the python and tested for various sets of exemplary real time video recordings to know the accuracy in the detection.

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