FM radio for indoor localization with spontaneous recalibration

Matic, Aleksandar; Popleteev, Andrei; Osmani, Venet; Mayora-Ibarra, Oscar

doi:10.1016/j.pmcj.2010.08.005

Cited by 30 publications

(12 citation statements)

References 24 publications

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“…Since GPS is unusable indoors, another localization system that was accurate enough was needed, with the constraint of being available using solely a mobile phone. As an effective solution, we used our FM radio-based positioning system [21] that provides the median accuracy of around 1m, and it is convenient for installation in various environments. The mobile phone used in the tests was a Samsung i8000 with Windows Mobile 6.5 operating system, with MyExperience tool installed and with an embedded accelerometer and an FM receiver.…”

Section: Locationmentioning

confidence: 99%

Smart Phone Sensing to Examine Effects of Social Interactions and Non-sedentary Work Time on Mood Changes

Matic

Osmani

Popleteev

et al. 2011

Modeling and Using Context

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Abstract. Study of mood and in turn mood changes is an important index of general wellbeing state and can also be an indicator of various mood disorders including clinical depression and bipolar disorder. While there have been clinical studies of mood, less emphasis has been placed on the factors that affect the mood, especially in workplace. The typical approach taken by these studies is to use clinical questionnaires in order to record the activities that impact the mood. However, recording activities that may have an influence on the mood in this manner suffers from a number of issues including floor effect and difficulty in recalling past activities. Our work instead has focused on using unobtrusive monitoring technology to study mood changes during office hours and a set of associated factors that influence these changes. We have primarily studied two factors and their impact on the mood changes, namely social activity and nonsedentary work style. The pilot study ran over the course of 7 days of measurements with the participation of 9 knowledge workers. The results have shown that mood changes are highly correlated with both social interactions and non-sedentary work style. This study is the first to investigate the correlation between mood changes and non-sedentary behavior patterns, opening up a research avenue to explore psychological effects of increasing prevalence of sedentary behavior.

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Section: Locationmentioning

confidence: 99%

Smart Phone Sensing to Examine Effects of Social Interactions and Non-sedentary Work Time on Mood Changes

Matic

Osmani

Popleteev

et al. 2011

Modeling and Using Context

Self Cite

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“…Infrastructure-free approaches have focused on leveraging already existing WiFi [5,15,49,40,41,45,6,22,47,50], FM and TV [8,9,34,28,29,27,12,33,19,48], GSM [31,44], geo-magnetic [10], and sound signals [43] to enable indoor localization through detailed fingerprinting. Infrastructure-based approaches rely on the deployment of customized RF-beacons [37], such as RFID [30], infrared [46], ultrasound [36,20], Bluetooth [7], short-range FM transmitters [26], lights [23], and magnetic signal modulators [32,2] to enable accurate indoor position estimation.…”

Section: Introductionmentioning

confidence: 99%

A realistic evaluation and comparison of indoor location technologies

Lymberopoulos

Liu

Yang

et al. 2015

Proceedings of the 14th International Conference on Information Processing in Sensor Networks

308

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We present the results, experiences and lessons learned from comparing a diverse set of technical approaches to indoor localization during the 2014 Microsoft Indoor Localization Competition. 22 different solutions to indoor localization from different teams around the world were put to test in the same unfamiliar space over the course of 2 days, allowing us to directly compare the accuracy and overhead of various technologies. In this paper, we provide a detailed analysis of the evaluation study's results, discuss the current state-ofthe-art in indoor localization, and highlight the areas that, based on our experience from organizing this event, need to be improved to enable the adoption of indoor location services.

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“…Those beacons make a use of vartiety of different wireless technologies e. g. RFID [39], Bluetooth [40], FM signal transmitters [41,42], ultrasounds [43], infrared [44] and VLC [45][46][47][48]. Whilst in general they provide higher location accuracy, they demand additional infrastructure with further need of servicing that increases the overall cost of the system.…”

Section: Related Workmentioning

confidence: 99%