Dcosta, Malcolm Contributor (Department of Mathematics, Computer Science, and Engineering Technology)
Description
The ubiquitous presence of smart phones allow for 24X7 monitoring of human activity patterns, whether counting daily steps, distance walked/ ran or hours slept in a night. All of this is captured via a number of sensors, just as GPS monitoring and the tri-axis accelerometer. In out research we will cover the tri-axis accelerometer and their variants and present few algorithms to extract its signal and count steps or kind of physical activity.
Date
2021-09-15
Department/Academic Units
Department of Mathematics, Computer Science, and Engineering Technology
