Although pain reduction is commonly the primary outcome in chronic pain clinical trials,
physical functioning is also important. A challenge in designing chronic pain trials to …

Wearable accelerometers provide detailed, objective, and continuous measurements of
physical activity (PA). Recent advances in technology and the decreasing cost of wearable …

Accelerometers have been widely deployed in public health studies in recent years. While
they collect high-resolution acceleration signals (eg, 10–100 Hz), research has mainly …

We propose two fast covariance smoothing methods and associated software that scale up
linearly with the number of observations per function. Most available methods and software …

Nonlinear sufficient dimension reduction for functional data Page 1 The Annals of Statistics
2017, Vol. 45, No. 3, 1059–1095 DOI: 10.1214/16-AOS1475 © Institute of Mathematical …

We propose and compare combinations of several methods for classifying transportation
activity data from smartphone GPS and accelerometer sensors. We have two main …

In this paper, we propose a framework for analyzing and understanding human behavior
from depth videos. The proposed solution first employs shape analysis of the human pose …

Motivated by modern observational studies, we introduce a class of functional models that
expand nested and crossed designs. These models account for the natural inheritance of …

To evaluate arm-hand therapies for neurological patients it is important to be able to assess
actual arm-hand performance objectively. Because instruments that measure the actual …

We introduce an explicit set of metrics for human activity based on high-density acceleration
recordings from a hip-worn tri-axial accelerometer. These metrics are based on two …