Using artificial intelligence and machine learning techniques in healthcare applications has
been actively researched over the last few years. It holds promising opportunities as it is …

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 …

Earables have emerged as a unique platform for ubiquitous computing by augmenting ear-
worn devices with state-of-the-art sensing. This new platform has spurred a wealth of new …

Feature extraction is crucial for human activity recognition (HAR) using body-worn
movement sensors. Recently, learned representations have been used successfully, offering …

The rise of consumer wearables promises to have a profound impact on peoples lives by
going beyond counting steps. Wearables such as eSense-an in-ear multisensory stereo …

We present the design, implementation, and evaluation of a multi-sensor, low-power
necklace, NeckSense, for automatically and unobtrusively capturing fine-grained information …

In this paper, we propose Auracle, a wearable earpiece that can automatically recognize
eating behavior. More specifically, in free-living conditions, we can recognize when and for …

Dietary intake, eating behaviors, and context are important in chronic disease development,
yet our ability to accurately assess these in research settings can be limited by biased …

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 …

In an attempt to help users reach their health goals and practitioners understand the
relationship between diet and disease, researchers have proposed many wearable systems …