Mobiscopes for Human Spaces

Massachusetts Institute of Technology, Cambridge, Massachusetts, United States
IEEE Pervasive Computing (Impact Factor: 1.55). 05/2007; 6(2):20-29. DOI: 10.1109/MPRV.2007.38
Source: IEEE Xplore


Mobiscope is an incorporation of distributed mobile sensors, which achieves high-density sampling coverage over a wide area through mobility. Mobiscopes applications include public-health epidemiological studies of human exposure using mobile phones and real-time, fine-grained automobile traffic characterization using sensors on fleet vehicles. There are two categories of mobiscopes, one category is vehicular applications for traffic and automotive monitoring, where a subset of equipped vehicles senses various surrounding conditions such as traffic, road conditions, or weather and the second category of mobiscopes use handheld devices. Several challenges arise in the application of mobiscopes from mobility and researchers are working to overcome these challenges to offer an efficient, robust, private, and secure networking and sensory data collection.

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    • "This approach is not only selfcentered , but especially focused on the surrounding world. Such systems are especially well suited for Healthcare applications, to facilitate both monitoring and sharing of automatically gathered health data (Campbell et al., 2008; Abdelzaher et al., 2007). As most people possess sensing-enabled phones, the main obstacle for the widespread adoption of smart medical devices is not the lack of an infrastructure. "
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    ABSTRACT: Technological developments on health sensing devices, associated with the growing computational capabilities of mobile devices, enable the creation of solutions that address mobility concerns of patients, especially those located on remote locations or facing mobility constraints. This paper proposes an integrated sensing platform, which works transparently with new sensing, portable equipment sensors, but maintaining as well compatibility with currently deployed commercial tools. This platform targets fetus health monitoring in pregnant women, presenting a new non-invasive portable alternative system that allows long-term pregnancy surveillance. Additionally, it can be applied to other users’ communities, such as remote elderly monitoring at home. We address technology adoption problems related to non-invasive, portable sensing technologies, data security and equipment heterogeneity.
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    • "If wisely used these sensor embedded cell phone devices can be used for a wide variety of applications since it is remarkably affordable and sharable. Using cell phone as sensor node [1][13] quite a lot of money and infrastructure could be saved by decreasing the number of sensor nodes in locations where mobile phone users exists. Some of the benefits of using sensor embedded cell phone [3][14] as a sensor device are listed below. "
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    • "The analysis of human movement patterns in physical space, such as in a city, and the interaction of people with objects present in those spaces has high relevance in many domains. Examples of applications are urban and social planning , the study of resources distribution in a city such as public transports, divulgation of advertising and information, prevention of epidemics and the spread of diseases, the response in cases of emergency and terrorist attacks[1], and the monitoring of the urban environment, for example by measuring the levels of noise and pollution[2]. "
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    ABSTRACT: Personal mobile devices have a strong impact in the daily life of their users, making part of their daily routines. Most of these devices are equipped with several sensors and interfaces that may be used to study human mobility and its interaction with the elements present in physical spaces. Our goal was to develop an application for Android smartphones that could be used to collect data from several of the devices' interfaces (Wi-Fi, GPS, Bluetooth and GSM), and to send that data to a server for later processing and analysis. In order to maximise the autonomy of the devices, energy resources must be used efficiently. This paper focus on a power-consumption saving solution for mobile phone-based sensing systems in the context of human motion analysis. Experiments were conducted with the objective of comparing power-consumption in different situations using our solution. Results have shown that, considering current power consumption patterns, carefully designed solutions for mobile phone-based sensing for observing human motion may enhance energy efficiency satisfactorily. In this particular domain, we have explored periodic sampling of the sensors and the suspension of the sampling process in the Android operating system whenever the device is not moving and we report such results in this paper.
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