Human activity recognition (HAR) has multifaceted applications due to its worldly usage of
acquisition devices such as smartphones, video cameras, and its ability to capture human …

Kinetic energy harvesting (KEH) may help combat battery issues in wearable devices. While
the primary objective of KEH is to generate energy from human activities, the harvested …

Human-robot teams collaborating to achieve tasks under various conditions, especially in
unstructured, dynamic environments will require robots to adapt autonomously to a human …

The deeply penetrated WiFi signals not only provide fundamental communications for the
massive Internet of Things devices but also enable cognitive sensing ability in many other …

Even though indoor smoking ban is being put into practice in civilized countries, existing
vision or sensor-based smoking detection methods cannot provide ubiquitous smoking …

In this paper, we design and develop RIO, a novel battery-free touch sensing user interface
(UI) primitive for future IoT and smart spaces. RIO enables UIs to be constructed using off-the …

Hand gesture is becoming an increasingly popular means of interacting with consumer
electronic devices, such as mobile phones, tablets and laptops. In this paper, we present …

Many object localization applications need the relative locations of a set of objects as
oppose to their absolute locations. Although many schemes for object localization using …

Worn sensors are popular for automatically tracking exercises. However, a wearable is
usually attached to one part of the body, tracks only that location, and thus is inadequate for …

Activity recognition using off-the-shelf smartwatches is an important problem in human
activity recognition. In this paper, we present an end-to-end deep learning approach, able to …