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As our population ages, neurological impairments and degeneration of the musculoskeletal system yield gait abnormalities, which can significantly reduce quality of life. Gait rehabilitative therapy has been widely adopted to help patients maximize community participation and living independence. To further improve the precision and efficiency of rehabilitative therapy, more objective methods need...
Spectrum sensing is a critical prerequisite in envisioned applications of wireless cognitive sensor networks which promise to resolve the perceived bandwidth scarcity versus under-utilization dilemma. The Kernel method is a very powerful tool in machine learning. The trick of kernel has been effectively and extensively applied in many areas of machine learning. In this paper, we propose a novel spectrum...
Aiming to the problem of weak primary user signal detection rate in low signal-to-noise ratio environments, we propose a novel spectrum sensing method based on the principal component analysis (PCA) and random forest (RF). From the received radio signal, a set of cyclic spectrum features are first calculated, and the PCA is applied to extract the most discriminate feature vector for classification...
It is difficult to implement three-dimensional (3D) measurement in small field of view (FOV) or confined space with traditional sensors, for they cannot be put into or operated flexibly in such circumstances. To solve the problem, a sensor constructed by an electronic endoscope and a pair of mirrors is designed, combining the flexible characteristics of the endoscope transmission wire and the advantages...
In this paper, a review of visual guidance systemsof autonomous vehicle is presented. The challenges of autonomous navigation in rainforest or tropical terrain are highlighted. There are several methods used in navigation system of the autonomous vehicle and it is shown that vision system remains a key-enabling component for successful navigation system. Color feature is used to examine the general...
This paper presents some key issues in fiber-optic interferometric magnetic field sensors. Practically applicable methods to design and implement fiber-optic Michelson interferometer and transducers are described with experimental verifications. Detection scheme of traditional hardware demodulation is improved, and a new software demodulation method is addressed. Transducers were implemented by using...
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