Filtering by: Subject Human Activity Recognition Remove constraint Subject: Human Activity Recognition
ThesisGeorge Enchackal, AnuExisting approaches for indoor navigation using wearable sensors weigh heavily on path to map matching techniques. This work is an attempt to identify the user's location within a pre-selected portion of a building from users' own activities. The stud . . .