Activity of daily living is an important indicator of the health status and functional capabilities
of an individual. Activity recognition, which aims at understanding the behavioral patterns of …

IN 2007, US VICE PRESIDENT Dick Cheney ordered his doctors to disable all wireless
signals to and from his Internet-connected pacemaker. Cheney later said that the decision …

Machine learning models are bounded by the credibility of ground truth data used for both
training and testing. Regardless of the problem domain, this ground truth annotation is …

The increasing popularity of ambient assisted living solutions is claiming adaptive and
scalable tools to monitor activities of daily living. Currently, most sensor-based activity …

In several domains, including healthcare and home automation, it is important to
unobtrusively monitor the activities of daily living (ADLs) carried out by people at home. A …

Recognition of activities of daily living (ADLs) is an enabling technology for several
ubiquitous computing applications. Most activity recognition systems rely on supervised …

In the current era of multimedia information, it is increasingly urgent to realize intelligent
video action recognition and content analysis. In the past few years, video action …

The evolution of smartphones made people more dependent on them since they save their
data on smartphones for convenience. This convenience aroused threats to the stored data …

This article is about deterministic models, what they are, why they are useful, and what their
limitations are. First, the article emphasizes that determinism is a property of models, not of …

When the mental acuity of older adults deteriorates (eg, dementia), irregular patterns
manifest within their activities of daily living (ADL), which renders an effective opportunity for …