Battery-free sensing devices harvest energy from their surrounding environment to perform
sensing, computation, and communication. This enables previously impossible applications …

Smartphone app developers often access and use privacy-sensitive data to create apps with
rich and meaningful interactions. However, it can be challenging for auditors and end-users …

Passive mobile sensing for the purpose of human state modeling is a fast-growing area. It
has been applied to solve a wide range of behavior-related problems, including physical …

Offloading techniques enable many emerging computer vision applications on mobile
platforms by executing compute-intensive tasks on resource-rich servers. Although there …

With app-based interaction increasingly permeating all aspects of daily living, it is essential
to ensure that apps are designed to be inclusive and are usable by a wider audience such …

Internet of things (IoT) applications (apps) are challenging to design because of their
heterogeneous deployment systems. In the context of privacy and IoT, there is sensitive data …

Although mobile context instrumentation frameworks have simplified the development of
mobile context-aware applications, it remains challenging to test such applications. In this …

In selecting a mobile application, the absence of the power-related information obstructs the
user from making the smart decision. To handle this problem, we propose an energy …

Today's smartphone application (hereinafterapp') markets do not provide information on
power consumption of apps, which is essential for users. Continuous sensing apps make …

Innovations in mobile hardware and software need corresponding advances in the accurate
assessment of power consumption under realistic conditions. This is especially relevant for …