MOBICOM

Mobile devices are severely battery constrained. While smartphone capabilities have increased manifold in the last ten years, the battery energy density has only doubled. At MSR, we have been exploring several techniques to improve the battery life of ...

The notion of edge computing introduces new computing functions away from centralized locations and closer to the network edge and thus facilitating new applications and services. This enhanced computing paradigm is provides new opportunities to ...

We demonstrate accurate real-time 3D robotic arm tracking in indoor environment via broadband RF nonlinear backscattering from passive tags, which is immune to mild visual obstruction from clothes and interior walls as well as static magnetic field ...

Device-free localization of people and objects indoors not equipped with radios is playing a critical role in many emerging applications. This paper presents a novel channel state information (CSI) pre-processing scheme that enables accurate device-free ...

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 ...

The resource usage model for millimeter wave bands has been the subject of considerable debate. The massive bandwidth, highly directional antennas, high penetration loss and susceptibility to shadowing in these bands suggest certain advantages to ...

The increased intelligence on network devices opened the horizon for a new computation approach, i.e., Edge Computing, to push computations away from the network's core. In this work, we present LAMEN, an initial attempt to use end devices at the edge ...

Content Providers (CPs) such as Facebook, Google, and others desire that their websites attract large user bases and generate high revenue. As a result, CPs strive to develop attractive and interactive websites that keep users engaged. JavaScript ...

The increasing task computation complexity and limited battery has become a serious concern for smartphones. To reduce the task computation delay and save the smartphone battery usage, there have been many efforts to offload the tasks from the mobile ...

We propose a Deep Neural Network (DNN) structure for RFID-based activity recognition. RFID data collected from several reader antennas with overlapping coverage have potential spatiotemporal relationships that can be used for object tracking. We ...

Respiration volume has been widely used as an important indication for diagnosis and treatment of pulmonary diseases and other health care related issues such as critically ill patients neonatal ventilation, post-operative monitoring and various others. ...

Due to the importance of vital signs, breathing rate and heart rate have been widely used in heath care. In the past few years, various systems and approaches have been proposed to detect and monitor breath and heart beat. In this paper, we show that Wi-...

Bioelectrical signals representing electrical activities of human brain, eyes, and facial muscles have found widespread use both as important inputs for critical medical issues and as an invisible communication pathway between human and external ...

This paper tackles the energy consumption minimization in transmit-only Wireless Sensor Networks and castes it as a convex optimization problem that is solved efficiently by an SOCP solver. The problem focuses on finding the optimal placement of cluster ...

Today, mobile data owners lack consent and control over the release and utilization of their location data. Third party applications continuously process and access location data without data owners granular control and without knowledge of how location ...

The Internet of Things (IoT) promises to allow everyday objects to connect to the Internet and interact with users and other machines ubiquitously. Regional networks such as LoRa and Sigfox have been deployed to provide connectivity to end devices, ...

This paper explores the potential for the inertial sensors on head-mounted devices (HMDs) such as Google Glass, and mobile devices to identify driving activities and unsafe driving. Particularly, we study whether the inertial sensors on HMDs, can detect ...