Practical motion capture in everyday surroundings

By Daniel Vlasic, R. Adelsberger, G. Vannucci, John C. Barnwell, Markus H. Gross, Wojciech Matusik, Jovan Popovic. ACM Transactions on Graphics, 2007

430 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Xsens MVN: Full 6DOF Human Motion Tracking Using Miniature Inertial Sensors (2009, background): “By combining the inertial estimates with other body worn aiding systems, such as a acoustic [9] or a magnetic tracker [10], unbound integration drift can be prevented.”
Recovering Accurate 3D Human Pose in the Wild Using IMUs and a Moving Camera (2018, methodology): “The seminal work of [41] uses a custom made suit to capture pose in everyday surroundings.”
Capturing the human figure through a wall (2015, methodology): “…methods place various types of sensors on the human body – including inertial, infrared, RF, acoustic, or ultrasonic sensors – and capture the human skeleton by tracking these various markers, e.g., [Roetenberg et al. 2009; Vlasic et al. 2007; Wang et al. 2014a; Raskar et al. 2007; VIC ; Zeb ].”
Survey of Motion Tracking Methods Based on Inertial Sensors: A Focus on Upper Limb Human Motion (2017, methodology): “[14] developed a full body suit equipped with 18 IMUs and eight ultrasonic sources.”
Human3.6M: Large Scale Datasets and Predictive Methods for 3D Human Sensing in Natural Environments (2014, background): “motion capture in natural environments[37], [6], [38], [7].”
RisQ: Recognizing Smoking Gestures with Inertial Sensors on a Wristband (2014, background): “[22] proposed a full body motion capture system using inertial sensors.”