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Radio tomographic imaging for ambient assisted living
- in Evaluating AAL Systems Through Competitive Benchmarking, ser. Communications in Computer and Information
"... Abstract. Accurate localization of people in indoor and domestic en-vironments is one of the key requirements for ambient assisted living (AAL) systems. This chapter describes how the received signal strength (RSS) measurements collected by a network of static radio transceivers can be used to local ..."
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Abstract. Accurate localization of people in indoor and domestic en-vironments is one of the key requirements for ambient assisted living (AAL) systems. This chapter describes how the received signal strength (RSS) measurements collected by a network of static radio transceivers can be used to localize people without requiring them to wear or carry any radio device. We describe a technique named radio tomographic imaging (RTI), which produces real-time images of the change in the radio propagation field of the monitored area caused by the presence of people. People’s locations are inferred from the estimated RTI images. We show results from a long-term deployment in a typical single floor, one bedroom apartment. In order to deal with the dynamic nature of the domestic environment, we introduce methods to make the RTI system self-calibrating. Experimental results show that the average localization error of the system is 0.23 m. Moreover, the system is capable of adapt-ing to the changes in the indoor environment, achieving high localization accuracy over an extended period of time.
The BehaviorScope Framework for Enabling Ambient Assisted Living
"... The in-house monitoring of elders using intelligent sensors is a very desirable service that has the potential of increasing autonomy and independence while minimizing the risks of living alone. Because of this promise, the efforts of building such systems have been spanning for decades, but there ..."
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Cited by 12 (4 self)
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The in-house monitoring of elders using intelligent sensors is a very desirable service that has the potential of increasing autonomy and independence while minimizing the risks of living alone. Because of this promise, the efforts of building such systems have been spanning for decades, but there is still a lot of room for improvement. Driven by the recent technology advances in many of the required components, in this paper we present a scalable framework for detailed behavior interpretation of elders. We report on our early deployment experiences and present our current progress in three main components: sensors, middleware and behavior interpretation mechanisms that aim to make effective monitoring and assistive services a reality.
A methodology for extracting temporal properties from sensor network data streams
- In Proceedings of the 7th ACM/Usenix International Conference on Mobile Systems, Applications and Services (MobiSys ’09
, 2009
"... The extraction of temporal characteristics from sensor data streams can reveal important properties about the sensed events. Knowledge of temporal characteristics in applications where sensed events tend to periodically repeat, can provide a great deal of information towards identifying patterns, bu ..."
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Cited by 8 (5 self)
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The extraction of temporal characteristics from sensor data streams can reveal important properties about the sensed events. Knowledge of temporal characteristics in applications where sensed events tend to periodically repeat, can provide a great deal of information towards identifying patterns, building models and using the timing information to actuate and provide services. In this paper we outline a methodology for extracting the temporal properties, in terms of start time and duration, of sensor data streams that can be used in applications such as human, habitat, environmental and traffic monitoring where sensed events repeat over a time window. Its application is demonstrated on a 30-day dataset collected from one of our assisted living sensor network deployments.
Towards Precision Monitoring of Elders for Providing Assistive Services
"... The in-house monitoring of elders using intelligent sensors is a very desirable service that has the potential of increasing autonomy and independence while minimizing the risks of living alone. Because of this promise, the efforts of building such systems have been spanning for decades, but there i ..."
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Cited by 6 (5 self)
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The in-house monitoring of elders using intelligent sensors is a very desirable service that has the potential of increasing autonomy and independence while minimizing the risks of living alone. Because of this promise, the efforts of building such systems have been spanning for decades, but there is still a lot of room for improvement. Driven by the recent technology advances in many of the required components, in this paper we present a scalable framework for detailed behavior interpretation of elders. We report on our early deployment experiences and present our current progress in three main components: sensors, middleware and behavior interpretation mechanisms that aim to make effective monitoring and assistive services a reality.
Vocal-Diary: A Voice Command based Ground Truth Collection System for Activity Recognition
"... We present Vocal-Diary, a voice command based ground truth col-lection system that uses grammar based commands from residents to log start and end of activities. Vocal-Diary ensures robustness in the presence of sounds from different environmental noise and day-to-day conversation by using two-way a ..."
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We present Vocal-Diary, a voice command based ground truth col-lection system that uses grammar based commands from residents to log start and end of activities. Vocal-Diary ensures robustness in the presence of sounds from different environmental noise and day-to-day conversation by using two-way acknowledgement and integrating speaker recognition in the pipeline. Vocal-Diary also utilizes the sensor data produced by the underlying activity recog-nition system to query residents periodically to check if they forgot to log any activity. Evaluation shows that Vocal-Diary increases precision by at least 40 % and recall by at least 10 % compared to a system that uses voice command recognition without any acknowl-edgement and speaker recognition.
Design, Languages
"... In this paper we introduce the SpatioTemporal Filtering Language (STFL), which is a language framework that aims to provide the primitives for easily defining rules and sequences of rules and constraints. These sequences of rules can be used to convert low-level streams of sensor data into higherlev ..."
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In this paper we introduce the SpatioTemporal Filtering Language (STFL), which is a language framework that aims to provide the primitives for easily defining rules and sequences of rules and constraints. These sequences of rules can be used to convert low-level streams of sensor data into higherlevel semantics and provide triggers for actuation. Among others STFL provides support for heterogeneous types of sensors, composability and code reusability. Special emphasis is given on the support of different categories of users by providing different types of interfaces spanning from a natural-like language aiming at end-users to a regular scripting language aiming at system developers. The expressiveness and power of STFL is presented through an assisted living scenario.
Thesis Prospectus Analyzing Group Behaviors of Humans Using Spatiotemporal Data from Sensor Networks
"... Recent advances in technology have made practical the use of sensor networks for a wide range of problems, ranging from security applications to assistive environments and urban sensing. However, sensor systems today have limited capabilities in understanding human behaviors, thus requiring the pres ..."
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Recent advances in technology have made practical the use of sensor networks for a wide range of problems, ranging from security applications to assistive environments and urban sensing. However, sensor systems today have limited capabilities in understanding human behaviors, thus requiring the presence of human operators, canceling, therefore, their main advantages which are large numbers and access to huge amounts of information. Of particular importance (e.g., airport security) is the ability of sensor systems to autonomously detect collective human behaviors (group behaviors) spanning over time. In the proposed thesis we will attempt to develop the theory and the tools required to allow sensor systems to autonomously detect groups of humans, assign roles to their members, learn their “habits ” and detect sets of predefined behaviors. 1
2011 IEEE International Conferences on Internet of Things, and Cyber, Physical and Social Computing Touch-driven Interaction Between Physical Space and Cyberspace with NFC
"... Abstract—Nowadays, natural and intuitive interactions between physical space and cyberspace have become increasingly important in our daily life. In this paper, we propose touchdriven interaction, which translates touch action into information flow in cyberspace, and result in media activity in phys ..."
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Abstract—Nowadays, natural and intuitive interactions between physical space and cyberspace have become increasingly important in our daily life. In this paper, we propose touchdriven interaction, which translates touch action into information flow in cyberspace, and result in media activity in physical space. Using NFC technology, user can simply touch smartphone with NFC tags to interact with TV, stereo, digital frame, etc. Compared with recognition-based interactions, touchdriven interaction features full user controllability, fine-grain accuracy and high usability. We also present several applications, including Touch&Connect, Touch&Watch, Touch&Listen and Touch&MakeFriends, to demonstrate touch-driven interaction, and conclude that such interaction is both intuitive and convenient in daily life. I.
