67 citations · 159 across the 8 of their papers we have counts for
8 papers
Group-In: Group Inference from Wireless Traces of Mobile Devices
Gürkan Solmaz, Jonathan Fürst, Samet Aytaç +1
This paper proposes Group-In, a wireless scanning system to detect static or mobile people groups in indoor or outdoor environments. Group-In collects only wireless traces from the…
CrowdEstimator: Approximating Crowd Sizes with Multi-modal Data for Internet-of-Things Services
Fang-Jing Wu, Gürkan Solmaz
Crowd mobility has been paid attention for the Internet-of-things (IoT) applications. This paper addresses the crowd estimation problem and builds an IoT service to share the crowd…
Toward Understanding Crowd Mobility in Smart Cities through the Internet of Things
Gürkan Solmaz, Fang-Jing Wu, Flavio Cirillo +5
Understanding crowd mobility behaviors would be a key enabler for crowd management in smart cities, benefiting various sectors such as public safety, tourism and transportation. Th…
WiFiScout: A Crowdsensing WiFi Advisory System with Gamification-based Incentive
Fang-Jing Wu, Tie Luo
As mobile crowdsensing techniques are steering many smart-city applications, an incentive scheme that motivates the crowd to actively participate becomes a key to the success of su…
We Hear Your Activities through Wi-Fi Signals
Fang-Jing Wu, Gürkan Solmaz
In this paper we focus on the problem of human activity recognition without identification of the individuals in a scene. We consider using Wi-Fi signals to detect certain human mo…
Together or Alone: Detecting Group Mobility with Wireless Fingerprints
Gürkan Solmaz, Fang-Jing Wu
This paper proposes a novel approach for detecting groups of people that walk "together" (group mobility) as well as the people who walk "alone" (individual movements) using wirele…
Are You in the Line? RSSI-based Queue Detection in Crowds
Fang-Jing Wu, Gürkan Solmaz
Crowd behaviour analytics focuses on behavioural characteristics of groups of people instead of individuals' activities. This work considers human queuing behaviour which is a spec…
The Privacy Exposure Problem in Mobile Location-based Services
Fang-Jing Wu, Matthias R. Brust, Yan-Ann Chen +1
Mobile location-based services (LBSs) empowered by mobile crowdsourcing provide users with context-aware intelligent services based on user locations. As smartphones are capable of…