NDLI: Optical flow measurement of human walking

Content Provider	IEEE Xplore Digital Library
Author	Qingwen Liu Osechas, O. Rife, J.
Copyright Year	2012
Description	Author affiliation: Tufts University, Medford, MA, USA (Qingwen Liu; Osechas, O.; Rife, J.)
Abstract	This paper presents a method for using optical flow measurements to estimate stride length for pedestrian navigation applications. Optical flow sensors, such as the detectors used in an optical computer mouse, measure the velocity of visual features traversing an imaging array. We consider the case in which the optical flow sensor is attached to the leg of a pedestrian and used to infer distance traveled. In this configuration, optical flow data are a projection of the velocity and angular velocity of the leg to which the sensor is attached; a dynamic motion model is needed to estimate leg states and to infer stride length from the optical flow data. In this paper, we consider a very simple dynamic walking model, called the Spring Loaded Inverted Pendulum (SLIP) model. In a hardware-based trial, the basic SLIP model estimated stride length with 10% error. We anticipate that refinements to the basic SLIP model will enable more accurate stride-length estimation in the future.
Starting Page	547
Ending Page	554
File Size	1475207
Page Count	8
File Format	PDF
ISBN	9781467303859
ISSN	21533598
e-ISBN	9781467303873
DOI	10.1109/PLANS.2012.6236926
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-04-23
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Optical variables measurement Adaptive optics Integrated optics Optical imaging Optical sensors Equations Optical computing Pedestrian Navigation Optical Flow
Content Type	Text
Resource Type	Article

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