Embedded Activity Monitoring Methods
Niket Shah, Maulik Kapuria, Kimberly E. Newman · Atlantis ambient and pervasive intelligence · 2011
As the average age of the population increases worldwide, automated tools for remote monitoring of activity are increasingly necessary and valuable. This chapter highlights embedded systems for activity recognition that provide privacy, do not require major infrastructure,and are easy to configure. The strengths and weaknesses of popular sensing modes that include RFID, motion, pressure, acceleration, and machine vision are discussed. A new activity detection system is also described for high privacy area like the bathroomand bedroom environment. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.