Sensors for Human Behavior Analysis
This chapter proposes a brief description of the most common sensors used in literature to perform the automatic analysis of the human behavior. For each kind of sensor, at least a scientific work using it for human behavior analysis is presented.
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Sensors for Human Behavior Analysis
This chapter proposes a brief description of the most common sensors used in literature to perform the automatic analysis of the human behavior. For each kind of sensor, at least a scientific work using it for human behavior analysis is presented. This chapter helps the readers to understand because the author has focused his attention on the analysis of human behavior using video streaming.
2.1 Motivation Automatic human behavior analysis and recognition are complex tasks that have attracted a lot of researchers in the latest years. One of the primary tasks to perform implementing such analysis is to define a representation of the real world using the data sampled by some sensors. Nowadays the most frequently used sensors are camera devices, but in literature there are also approaches based on the employment of other kinds of sensor. These approaches achieve good results in some specific domains but often they cannot be generalized to other contexts. In literature, there are many works applying data fusion techniques to build complex systems based on using different type of sensors [20–22]. In this chapter a brief overview about the following sensors and of the works using them is presented: Radio Frequencies Identifier (RFID), pressure sensors, Micro-Electro-Mechanical Systems (MEMS) and image sensors. The aim of this brief overview is to show the most important used sensors in human behavior analysis, their applications and their limits. This discussion should help the readers to understand because the author has focused his attention on the analysis of human behavior using video streaming. The main goal of the book is the semantic analysis of video streaming. From this point of view, since the sensors play a secondary role in this book, a critical overview of the literature about sensors is beyond the scope of this book.
A. Amato et al., Semantic Analysis and Understanding of Human Behavior in Video Streaming, DOI: 10.1007/978-1-4614-5486-1_2, Ó Springer Science+Business Media New York 2013
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2 Sensors for Human Behavior Analysis
2.2 Radio Frequencies Identifier Technology RFID is the acronym of Radio Frequencies Identifier. This technology is based on four key elements: the RFID tags themselves, the RFID readers, the antennas and choice of radio characteristics, and the computer network (if any) that is used to connect the readers. RFID tags are devices composed of an antenna and a small silicon chip containing a radio receiver, a radio modulator for sending a response back to the reader, control logic, some amount of memory, and a power system. A RFID tag transmits the data stored inside its memory module when it is exposed to radio waves of the correct frequency sent by the reader. According to the used power system there are two kinds of tags: passive tags where the power system can be completely powered by the incoming RF signal and active tags where the tag’s power system has a battery. Passive tags are cheaper than active tags but they have a shorter range of
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