Distinguish walking and running

Simple item page
dc.contributor.advisorDr. Md Shahriar Karim
dc.contributor.authorSangeeta Paul Priya
dc.contributor.id1621735042
dc.coverage.departmentElectrical and Computer Engineering
dc.date.accessioned2026-01-06
dc.date.accessioned2026-01-06T09:28:19Z
dc.date.available2026-01-06T09:28:19Z
dc.date.issued2021-12-31
dc.description.abstractPhysical activity is a vital need for our survival. But in the busy world that we live in, it’s not often that easy for us to include exercise within our schedule. But the least we can do is keep track of how much physical activity we are doing throughout the day that can actually leave an impact on our physic. Running impact us differently than just walking. That’s why it is important to keep track of both individually. It becomes even more important especially if we go out to run with the intention of exercising. That’s why our goal is to create a system that can learn the difference between running and walking from data through machine learning and provides the user with a result that contains how much they ran and how much they walked separately. Many systems were developed over the years to distinguish walking and running. This project is about establishing a system that can detect whether someone is running or walking. For this project we went with two different approaches, both of which involved machine learning. Our first approach was to use a numeric dataset and apply them on different machine learning algorithms. Our other approach was to use an image-based dataset to create a CNN model. The end goal for both processes was to interphase the models with an Arduino.
dc.description.degreeUndergraduate
dc.identifier.cd600000294
dc.identifier.urihttps://repository.northsouth.edu/handle/123456789/1568
dc.language.isoen_US
dc.publisherNorth South University
dc.rights@ NSU Library
dc.titleDistinguish walking and running
dc.typeProject
oaire.citation.endPage22
oaire.citation.startPage1
Files
Original bundle
Now showing 1 - 2 of 2
Thumbnail Image
Name:
600000294-abstract.pdf
Size:
163.59 KB
Format:
Adobe Portable Document Format
Description:
Download
Thumbnail Image
Name:
600000294.pdf
Size:
340.19 KB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.93 KB
Format:
Item-specific license agreed to upon submission
Description:
Download
Collections
Theses - Undergraduate