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Smartphones are excellent mobile sensing platforms, with the microphone in particular being exercised in several audio inference applications. We take smartphone audio inference a step further and demonstrate for the first time that it's possible to accurately estimate the number of people talking in a certain place -- with an average error distance of 1.5(More)
To develop unified IoT platforms where objects can be made accessible to applications across organizations and domains, popular solutions are based on client-server overlays on today's Internet. These solutions, however, inherit the inefficiencies of the current Internet - especially in terms of mobility, scalability, and communication reliability. To(More)
The Mobile Crowd Sensing (MCS) paradigm enables large-scale sensing opportunities at lower deployment costs than dedicated infrastructures by utilizing the large number of today’s mobile devices. In the context of MCS, end users with sensing and computing devices can share and extract information of common interest. In this article, we examine Crowd++, a(More)
Large-scale wireless sensor network (WSN) deployment is a major challenge for Internet of Things (IoT) to connect physical world through sensors or tags at the scale of billions of objects. Today's WSNs normally use dedicated gateways to bridge sensors and IP networks. The installation and maintenance of such a WSN infrastructure are expensive and(More)
In this paper, we present the design, implementation and evaluation of a user authentication system, Headbanger, for smart head-worn devices, through monitoring the user's unique head-movement patterns in response to an external audio stimulus. Compared to today's solutions, which primarily rely on indirect authentication mechanisms via the user's(More)
Many approaches have been proposed to build a unified IoT platform where physical and digital objects are accessible by applications crossing different organization and domains, and are based on IP-overlay architecture. These solutions inherit the constraints of the current internet, especially in terms of naming, heterogeneity, mobility and security. In(More)
The rapid growth in IoT deployment has posed unprecedented challenges to the underlying network design. We envision tomorrow’s global-scale IoT systems should support global device reach-ability, mobility, diverse communication patterns, and resource efficiency. Existing solutions either rely on IP protocols that do not have efficient mobility support, or(More)
The Internet of Things (IoT) is a recent trend that extends the boundary of the Internet to include a wide variety of computing devices. Connecting many stand-alone IoT systems through the Internet introduces many challenges, with security being front-and-center since much of the collected information will be exposed to a wide and often unknown audience.(More)
As people become increasingly accustomed to using smartphones while they walk, there will be a corresponding concern about pedestrian safety as smartphone users might become distracted. In this work, we address this concern by developing a system for smartphones that warns users when it detects an oncoming car. In addition to detecting the presence of a(More)
We demonstrate a system for direct authentication of users to their head-worn wearable device through a novel approach that identifies users based on motion signatures extracted from their head-movements. This approach is in contrast to existing indirect authentication solutions via smartphone or using touch-pad swipe patterns. The system, dubbed(More)