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Sentence-Level Silent Speech Recognition Using a Wearable EMG/EEG Sensor System with AI-Driven Sensor Fusion and Language Model. [PDF]
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Frontiers in Optics 2004/Laser Science XXII/Diffractive Optics and Micro-Optics/Optical Fabrication and Testing, 2004
Sensor networks are gaining considerable attention nowadays. Pre and post processing of the measured data in such networks is crucial to the conservation of power and communication resources. We address the optimization of these processing requirements in addition to the tradeoff between network parameters.
José M. F. Moura, Saeed A. Aldosari
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Sensor networks are gaining considerable attention nowadays. Pre and post processing of the measured data in such networks is crucial to the conservation of power and communication resources. We address the optimization of these processing requirements in addition to the tradeoff between network parameters.
José M. F. Moura, Saeed A. Aldosari
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2014
In the previous chapters, we have discussed issues concerning hardware, communication and network topologies for the practical deployment of Body Sensor Networks (BSNs). The pursuit of low power miniaturised distributed sensing under a patient’s natural physiological conditions has also imposed significant technical challenges on integrating ...
Guang-Zhong Yang +3 more
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In the previous chapters, we have discussed issues concerning hardware, communication and network topologies for the practical deployment of Body Sensor Networks (BSNs). The pursuit of low power miniaturised distributed sensing under a patient’s natural physiological conditions has also imposed significant technical challenges on integrating ...
Guang-Zhong Yang +3 more
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2015
The nondestructive evaluation of food produce requires various sensors, which are more than a simple accumulation of independent sensors. Sensor fusion provides a collaborative approach with those sensors, in order to improve the quality assessment of the product and assure the consumer a high-quality produce.
Xiaobo Zou, Jiewen Zhao
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The nondestructive evaluation of food produce requires various sensors, which are more than a simple accumulation of independent sensors. Sensor fusion provides a collaborative approach with those sensors, in order to improve the quality assessment of the product and assure the consumer a high-quality produce.
Xiaobo Zou, Jiewen Zhao
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Journal of Intelligent & Robotic Systems, 1988
This paper reviews some knowledge representation approaches devoted to the sensor fusion problem, as encountered whenever images, signals, text must be combined to provide the input to a controller or to an inference procedure. The basic steps involved in the derivation of the knowledge representation scheme, are: (A) locate a representation ...
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This paper reviews some knowledge representation approaches devoted to the sensor fusion problem, as encountered whenever images, signals, text must be combined to provide the input to a controller or to an inference procedure. The basic steps involved in the derivation of the knowledge representation scheme, are: (A) locate a representation ...
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2006
In the previous chapters, we have dealt exclusively with the part of attention that is concerned with visual processing. This part is the best investigated one in human behavior, probably because vision is the sense using the most capacity in the human brain: the 32 representations of the retina occupy more than half of the whole cortex [Kandel et al.,
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In the previous chapters, we have dealt exclusively with the part of attention that is concerned with visual processing. This part is the best investigated one in human behavior, probably because vision is the sense using the most capacity in the human brain: the 32 representations of the retina occupy more than half of the whole cortex [Kandel et al.,
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Tomography defined as sensor fusion
2015 IEEE SENSORS, 2015Tomography is introduced as a sensing task, ratherthan a healthcare imaging application, best known for itsembodiment in hospital scanners. Tomography sensing, imagingand data processing are summarized with emphasis on systemphenomenology and design in relation with the inversion ofmeasurement data. The main classification paradigms of sensorfusion are
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Data Fusion in Sensor Networks
2006 IEEE International Conference on Video and Signal Based Surveillance, 2005There is a growing excitement about the potential application of large scale sensor networks in diverse applications such as precision agriculture, geophysical and environment monitoring, remote health care, and security. Rapid progress in sensing hardware, communications and low-power computing has resulted in a profusion of commercially available ...
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