title: Zero-Effort Camera-Assisted Calibration Techniques for Wearable Motion Sensors.
abstract: Activity recognition using wearable motion sensors plays an important role in pervasive wellness and healthcare monitoring applications. The activity recognition algorithms are often designed to work with aknownorientation of sensors on the body. In the case of accidental displacement of the motion sensors, it is important to identify the new sensor location and orientation. This step, often calledcalibrationorrecalibration, requires extra effort from the user to either perform a set of known movements, or enter information about the placement of the sensors manually. In this paper, we propose a camera-assisted calibration approach that does not require any extra effort from the user. The calibration is done seamlessly when the user appears in front of the camera (in our case, a Kinect camera) and performs an arbitrary activity of choice (e.g., walking in front of the camera). We provide experimental results supporting the effectiveness of our approach.
authors.affiliation: The University of Texas at Dallas, Richardson, Texas, 75080.
authors.forename: Jian
authors.initials: J
authors.lastname: Wu
authors.affiliation: The University of Texas at Dallas, Richardson, Texas, 75080.
authors.forename: Roozbeh
authors.initials: R
authors.lastname: Jafari
keywords: Activity recognition; Inertial wearable sensors; Kinect cameras; Zero-effort calibration