From data acquisition to data fusion: a comprehensive review and a roadmap for the identification of activities of daily living using mobile devices
This paper focuses on the research on the state of the art for sensor fusion techniques,
applied to the sensors embedded in mobile devices, as a means to help identify the mobile …
applied to the sensors embedded in mobile devices, as a means to help identify the mobile …
Multi-armed bandit channel access scheme with cognitive radio technology in wireless sensor networks for the internet of things
J Zhu, Y Song, D Jiang, H Song - IEEE access, 2016 - ieeexplore.ieee.org
The wireless sensor network (WSN) is one of the key enablers for the Internet of Things
(IoT), where WSNs will play an important role in future internet by several application …
(IoT), where WSNs will play an important role in future internet by several application …
Brain-computer interface: Next generation thought controlled distributed video game development platform
In this paper we present a system that uses the human ability to control a video game on a
mobile device using electroencephalographic (EEG) Mu rhythms. The signals were obtained …
mobile device using electroencephalographic (EEG) Mu rhythms. The signals were obtained …
A game-theoretic power control mechanism based on hidden Markov model in cognitive wireless sensor network with imperfect information
J Zhu, D Jiang, S Ba, Y Zhang - Neurocomputing, 2017 - Elsevier
Wireless sensor networks are utilized in medical area to gather multimedia information from
multiple sources, such as video streams, images, voice, heartbeat and blood pressure data …
multiple sources, such as video streams, images, voice, heartbeat and blood pressure data …
A robust gesture recognition algorithm based on sparse representation, random projections and compressed sensing
Compressed Sensing (CS) and Sparse Representation (SR) influenced the ways of signals
are processed half a decade. The elegant solution to sparse signal recovery problem has …
are processed half a decade. The elegant solution to sparse signal recovery problem has …
Gesture recognition in virtual reality
M Kavakli - International Journal of Arts and Technology, 2008 - inderscienceonline.com
In this paper, our purpose is to investigate the system architectures and thresholds to detect
gestures for a gesture-based system. We developed two gesture recognition systems …
gestures for a gesture-based system. We developed two gesture recognition systems …
Distributed TV-L1 image fusion using PDMM
M O'Connor, WB Kleijn… - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
Distributed image fusion over networks has had little coverage in the literature, particularly
considering the recent emergence of large networks of imaging sensors such as radio …
considering the recent emergence of large networks of imaging sensors such as radio …
Sensorized garment augmented 3d pervasive virtual reality system
Virtual reality (VR) technology has matured to a point where humans can navigate in virtual
scenes; however, providing them with a comfortable fully immersive role in VR remains a …
scenes; however, providing them with a comfortable fully immersive role in VR remains a …
[PDF][PDF] A robust and fast gesture recognition method for wearable sensing garments
There is an increasing demand for motion capture and full body gesture recognition due to
fast paced ubiquitous computing developments and their requirements for natural input …
fast paced ubiquitous computing developments and their requirements for natural input …
Exploration of Climate Data and Temperature Forecasting using Machine Learning
E AlBalawi - 2024 - preprints.org
In this short communication, a concept has been presented to model geographical data to
predict future temperature of Tabuk, region. Machine learning has been applied to the …
predict future temperature of Tabuk, region. Machine learning has been applied to the …