A location-based notification- and visualization-system indicating social activities

David, Sammy; Edlich, Stefan

doi:10.1117/12.810140

Cited by 2 publications

(1 citation statement)

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“…GPS, Wi-Fi, cellular communications, accelerometer), and its higher efficiency in comparison with other platforms such as J2ME [4]. In this sense, recent research work [17] presents location-based services running on Android based largely on outdoor GPS use, but precise indoor localization would be a valuable addition.…”

Section: Location-based Approaches: Gps and Indoor Localizationmentioning

confidence: 99%

Opportunistic strategies for lightweight signal processing for body sensor networks

Seto

Martin

Yang

et al. 2010

Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments

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We present a mobile platform for body sensor networking based on a smartphone for lightweight signal processing of sensor mote data. The platform allows for local processing of data at both the sensor mote and smartphone levels, reducing the overhead of data transmission to remote services. We discuss how the smartphone platform not only provides the ability for wearable signal processing, but it allows for opportunistic sensing strategies, in which many of the onboard sensors and capabilities of modern smartphones may be collected and fused with body sensor data to provide environmental and social context. We propose that this can help refine data reduction at the local level. We describe three examples related to health and wellness, to which our system has been applied.

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Section: Location-based Approaches: Gps and Indoor Localizationmentioning

confidence: 99%

Opportunistic strategies for lightweight signal processing for body sensor networks

Seto

Martin

Yang

et al. 2010

Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments

View full text Add to dashboard Cite

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Precise indoor localization using smart phones

Martin

Vinyals

Friedland

et al. 2010

Proceedings of the 18th ACM International Conference on Multimedia

189

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We present an indoor localization application leveraging the sensing capabilities of current state of the art smart phones. To the best of our knowledge, our application is the first one to be implemented in smart phones and integrating both offline and online phases of fingerprinting, delivering an accuracy of up to 1.5 meters. In particular, we have studied the possibilities offered by WiFi radio, cellular communications radio, accelerometer and magnetometer, already embedded in smart phones, with the intention to build a multimodal solution for localization. We have also implemented a new approach for the statistical processing of radio signal strengths, showing that it can outperform existing deterministic techniques.

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A location-based notification- and visualization-system indicating social activities

Cited by 2 publications

References 0 publications

Opportunistic strategies for lightweight signal processing for body sensor networks

Opportunistic strategies for lightweight signal processing for body sensor networks

Precise indoor localization using smart phones

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