Advisor Information
Dr. Nicholas Stergiou
Location
MBSC 201
Presentation Type
Poster
Start Date
6-3-2020 9:00 AM
End Date
6-3-2020 10:15 AM
Abstract
Recent research has shown that the structure of different pacing signals influences gait dynamics during coordination to those signals. Those studies, however, have not looked at the impact that probability distribution functions play in influencing our gait. This study looks at how both autocorrelation functions and probability distribution has in noisy metronomes to look for sources of synchronization. 10 healthy subjects volunteered to complete this study. The participants were required to wear custom-built glasses with a small screen projected on the lens. The screen showed a visual stimulus that correlated with various signals. The results of the study suggest that gait synchronization is influenced by both autocorrelation functions and probability distribution functions. Importantly, these two properties show to influence gait independent of each other.
Autocorrelation and Probability Distributions in Gait-Metronome Synchronization
MBSC 201
Recent research has shown that the structure of different pacing signals influences gait dynamics during coordination to those signals. Those studies, however, have not looked at the impact that probability distribution functions play in influencing our gait. This study looks at how both autocorrelation functions and probability distribution has in noisy metronomes to look for sources of synchronization. 10 healthy subjects volunteered to complete this study. The participants were required to wear custom-built glasses with a small screen projected on the lens. The screen showed a visual stimulus that correlated with various signals. The results of the study suggest that gait synchronization is influenced by both autocorrelation functions and probability distribution functions. Importantly, these two properties show to influence gait independent of each other.