scholarly journals 6-DOF Motion Sensor System Using Multiple Linear Accelerometers

10.5772/6731 ◽  
2009 ◽  
Author(s):  
Ryoji Onodera ◽  
Nobuharu Mimur
Keyword(s):  
Sensor System ◽  
Motion Sensor

scholarly journals Monitoring and Search of Coma Patients using Variable Motion Sensor System

2019 ◽  
Vol 8 (9S2) ◽  
pp. 307-310
Keyword(s):  
Visual Perception ◽  
Pulse Rate ◽  
The Other ◽  
Sensor System ◽  
Motion Sensor ◽  
Basic Part ◽  
Movement Recognition

It is vital to consistently screen the oblivious/extreme lethargies patients to comprehend their wellbeing condition. The primary objectives of the proposed is to achieve two things. 1) Monitoring and cautioning the restorative individual is the basic part, when the incapacitated additions cognizance utilizing movement recognition framework. 2) Continuous observing and assessment of basic signs of the patient, for example, Pulse rate and warmth and alarm the specialist at whatever point consideration is required. Wearable Motion sensor framework can be utilized to screen different body developments such and hand development as visual perception flicker development to find the cognizant condition of an individual. This framework will all around likely be exceptionally useful in helping the specialist about the wellbeing state of the other than cognizant patient and cautioning the doctor at whatever point care is required. The proposed framework will help your specialist by providing an alert about the wellbeing state of the patient, when the spot of basic signs reported.

scholarly journals A Hierarchical Deep Fusion Framework for Egocentric Activity Recognition Using a Wearable Hybrid Sensor System

Sensors ◽  
2019 ◽  
Vol 19 (3) ◽  
pp. 546 ◽  
Author(s):  
Haibin Yu ◽  
Guoxiong Pan ◽  
Mian Pan ◽  
Chong Li ◽  
Wenyan Jia ◽  
...  
Keyword(s):  
Activity Recognition ◽  
Short Term Memory ◽  
Specific Activity ◽  
Negative Influence ◽  
Sensor System ◽  
Sensor Data ◽  
Motion Sensor ◽  
Motion Sensors ◽  
Motion State ◽  
Fusion Framework

Recently, egocentric activity recognition has attracted considerable attention in the pattern recognition and artificial intelligence communities because of its wide applicability in medical care, smart homes, and security monitoring. In this study, we developed and implemented a deep-learning-based hierarchical fusion framework for the recognition of egocentric activities of daily living (ADLs) in a wearable hybrid sensor system comprising motion sensors and cameras. Long short-term memory (LSTM) and a convolutional neural network are used to perform egocentric ADL recognition based on motion sensor data and photo streaming in different layers, respectively. The motion sensor data are used solely for activity classification according to motion state, while the photo stream is used for further specific activity recognition in the motion state groups. Thus, both motion sensor data and photo stream work in their most suitable classification mode to significantly reduce the negative influence of sensor differences on the fusion results. Experimental results show that the proposed method not only is more accurate than the existing direct fusion method (by up to 6%) but also avoids the time-consuming computation of optical flow in the existing method, which makes the proposed algorithm less complex and more suitable for practical application.

Gait analysis using a portable motion sensor system: measurements in subjects with hip implant as compared with healthy controls

2013 ◽  
Vol 38 ◽  
pp. S99-S100
Author(s):  
Fredrik Öhberg ◽  
Helena Grip ◽  
Kjell G. Nilsson ◽  
Urban Edström ◽  
Ola Gustavsson ◽  
...  
Keyword(s):  
Gait Analysis ◽  
Sensor System ◽  
Motion Sensor ◽  
Healthy Controls ◽  
Hip Implant

J102021 A study on wearable ground reaction force and motion sensor system

2011 ◽  
Vol 2011 (0) ◽  
pp. _J102021-1-_J102021-6
Author(s):  
Yoshio INOUE ◽  
Tao LIU ◽  
Kyoko SHIBATA ◽  
Kozo SHIOJIMA ◽  
Nobutaka TSUJIUCHI
Keyword(s):  
Ground Reaction Force ◽  
Reaction Force ◽  
Sensor System ◽  
Motion Sensor ◽  
Force And Motion

Development of Motion Sensor System for Kayak Paddlers

2018 ◽  
Vol 2018 (0) ◽  
pp. 2P2-F07
Author(s):  
Yuuki UDAGAWA ◽  
Takuya HASHIMOTO ◽  
Naoki KIKUCHI
Keyword(s):  
Sensor System ◽  
Motion Sensor

View-Based Localization Using Head-Mounted Multi Sensors Information

2009 ◽  
Vol 21 (3) ◽  
pp. 376-383 ◽  
Author(s):  
Hiroaki Yaguchi ◽  
◽  
Nikolaus Zaoputra ◽  
Naotaka Hatao ◽  
Kimitoshi Yamazaki ◽  
...  
Keyword(s):  
Sensor System ◽  
Motion Sensor ◽  
Camera Motion ◽  
Laser Range ◽  
Omnidirectional Camera ◽  
3D Camera ◽  
Laser Range Finders

In view-based navigation, view sequences are constructed by considering only the appearance of images. This approach can work only in limited situation, because the structure of environment and camera poses with 3D camera motion is not considered. In this paper, we construct a multi sensor system using an omnidirectional camera, a motion sensor and laser range finders. Using this system, we propose a method of construction view sequence, that takes 3D camera poses into account.

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