Open Access
American Research Journal of Computer Science and Information Technology
ISSN (Online): 2572-2921
DOI: 10.46568/arjcsit
Reducing Sensors according to a VectorsAnalysis of stored measurements (ReSeVA)
Abstract
The recognition of motion is widely used in games development field but it is active too in care systems.
Recognition of motion according measurements needs data (values) from many sensors, like Position, Velocity,
Acceleration, Orintation, etc. We have two major ways to determine which placements of sensors on the body
are required to recognize the motion. The first way connects its work with the results of other science branches
like sports science and game development. The other one depends on the following strategy. Many sensors
were placed on the body, without the knowledge, which sensors are required. Then according an analysis of the
stored data for each sensors, the behavioral similarity of these sensors will be extracted.The target of both ways
is to reduce the cost of building a suit of sensors, and simultaneously to keep the results of the recognition of
motion correct.In this paper we follow the second way and define a new regression analysis“ReSeVA” depending
on vector definition(on its angles and longs) and on the principle of Newton’s law of metion.
