Optical Flow Measurement of Human Walking.
Liu, Qingwen.
2012
-
Abstract: Optical
Flow Measurement of Human Walking Qingwen Liu Abstract: This thesis 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. The author
considers the case in which ... read morethe 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 thesis, a very simple dynamic walking model
is introduced, called the Spring Loaded Inverted Pendulum (SLIP) model. In a
hardware-based trial, the basic SLIP model estimated stride length with 10% error. The
author anticipates that refinements to the basic SLIP model will enable more accurate
stride-length estimation in the future. Keywords: Optical Flow, Stride Length,
Pedestrian Navigation Jason Rife - Mechanical Engineering, Tufts University Robert Greif
- Mechanical Engineering, Tufts University Babak Moaveni - Civil & Environmental
Engineering, Tufts University
Thesis (M.S.)--Tufts University, 2012.
Submitted to the Dept. of Mechanical Engineering.
Advisor: Jason Rife.
Committee: Jason Rife, Robert Greif, and Babak Moaveni.
Keywords: Mechanical engineering, and Electrical engineering.read less - ID:
- 8s45qn03b
- Component ID:
- tufts:21109
- To Cite:
- TARC Citation Guide EndNote
