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He broadly investigates mobile sensing techniques and builds hardware for better understanding the human body and progressing frontiers of medical science.
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The research community has highlighted the need for power-aware and context-aware sensing techniques deployed at different levels of mobile platforms for making a more efficient use of energy resources.
In this paper an overview on distinct classes of sensors is given including some practical recommendations mainly for Cost Oriented mobile Robots (COR).This paper provides opportunity to utilize in robotics some fundamentals of sensors and sensing techniques that are using in the various fields of engineering and science.
In this sense, compressive sensing techniques cannot essentially be improved.
Mobile sensing can be divided into two sensing paradigms (Lane et al. 2008).
Also, wavelet techniques in spectrum sensing was variously compared with existing wavelet sensing techniques; other spectrum sensing techniques; and existing wideband sensing techniques.
These sensing techniques could be roughly categorized into indirect sensing and direct sensing techniques, of which vibration and oil debris analysis are two typical sensing techniques, respectively.
It provides many amazing applications on mobiles, such as high-resolution mobile videos [1], age estimation [2], human-mobile interaction [3], and mobile sensing for object recognition [4].
Mobile crowdsensing has facilitated ubiquitous mobile sensing applications between humans and the surrounding physical world as a convenient and economical sensing technology.
Optical physics and remote sensing techniques are valuable.
Their lower power consumption and small size enable mobile sensing, deploying single or multiple units simultaneously.
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