Recent research has demonstrated the capability of behavior signals captured by
smartphones and wearables for longitudinal behavior modeling. However, there is a lack of …

Recent advances in sensing technology have made it possible to monitor how behavioral
systems unfold in people's natural settings by leveraging sensors embedded in personal …

The proliferation of sensors on mobile phones and wearables has led to a plethora of
context classifiers designed to sense the individual's context. We argue that a key missing …

Xuhai “Orson” Xu: Passive sensing data from mobile and wearable devices could be used to
train machine learning (ML) models that infer stress, depression, energy expenditure, and …

Smartphone embedded sensors have created unprecedented opportunities to study human
behavior in natural conditions through continuous mobile sensing. However, continuous …

In recent years, human behavior sensing and understanding attracts a lot of interests due to
various societal needs, including security, natural interfaces, gaming, affective computing …

Human activity recognition (HAR) is the automated recognition of individual or group
activities from sensor inputs. It deals with a wide range of application areas, such as for …

Smartwatches are an increasingly popular technology that employs advanced sensors (eg,
location, motion, and microphone) comparable to those used by smartphones. Passive …

The prevalence of WiFi infrastructures has enabled the advancement of a wide range of WiFi-
based intelligent applications. Behavioral sensing, as an increasingly popular example, is …

The mission of the research presented in this thesis is to give computers the power to sense
and react to human activities. Without the ability to sense the surroundings and understand …