As the world population is growing toward an aging society, elderly fall becomes a serious
problem. Automatic fall detection and alert systems could shorten their waiting time after a fall …

Background Insightful feedback generation for daily home-based stroke rehabilitation is
currently unavailable due to the inefficiency of exercise inspection done by therapists. We aim to …

A markerless motion capture technique is proposed based on a fusion between a depth
camera (Kinect V2) and a pair of wrist-worn inertial measurement units (IMU). The method …

Marker-based motion capture (mocap) is a conventional method used in biomechanics
research to precisely analyze human movement. However, the time-consuming marker …

We present an approach for real-time estimation of 3D hand shape and pose from a single
RGB image. To achieve real-time performance, we utilize an efficient Convolutional Neural …

Current clinical practice of measuring hand joint range of motion relies on a goniometer as it
is inexpensive, portable, and easy to use, but it can only measure the static angle of a single …

Phase extraction from repetitive movements is one crucial part in various applications such
as interactive robotics, physical rehabilitation, or gait analysis. However, pre-existing …

Automatic phase extraction is commonly done by digital markers or handcrafted feature
detection that are designed specifically for one particular type of signal. A few more generalized …

Infrastructure as a Service Cloud system is based on virtualization technology to enables the
hosting of massive number of computing resources. The efficient power management can …

Given a set of multidimensional data samples, we propose a way to approximate a continuous
boundary that compactly contains all the samples. The method optimizes two residual …