As smartphone penetration saturates, we are witnessing a new trend in personal mobile
devices-wearable mobile devices or simply wearables as it is often called. Wearables come …

Personal and ubiquitous sensing technologies such as smartphones have allowed the
continuous collection of data in an unobtrusive manner. Machine learning methods have …

The position of on-body motion sensors plays an important role in human activity
recognition. Most often, mobile phone sensors at the trouser pocket or an equivalent position …

The Internet of Things (IoT) has grown over decades to encompass many forms of sensing
modalities, and continues to improve in terms of sophistication and lower costs. The trend of …

Gesture recognition has become increasingly important in human-computer interaction
(HCI) and can support a broad array of emerging applications, such as smart home, virtual …

This paper demonstrates that it is possible to leverage WiFi signals from commodity mobile
devices to enable hands-free drawing in the air. While prior solutions require the user to …

Imagine a user ty** on a laptop keyboard while wearing a smart watch. This paper asks
whether motion sensors from the watch can leak information about what the user is ty** …

This paper aims to track the 3D posture of the entire arm-both wrist and elbow-using the
motion and magnetic sensors on smartwatches. We do not intend to employ machine …

In this community review report, we discuss applications and techniques for fast machine
learning (ML) in science—the concept of integrating powerful ML methods into the real-time …

Regular free-weight exercise helps to strengthen the body's natural movements and
stabilize muscles that are important to strength, balance, and posture of human beings. Prior …