Android PoC accelerometer sample

Sample project for accelerometer capabilities PoC w/ locality analyze handset movement data and identify significant pattern describing current movement (walking, running, stepping, riding a bike, driving a car) library shall be able to tune different identified movement (different user use different movement) movement kind shall be identify also riding bike or driving a car (perhaps localization shall be used) as soon as movement identified message in status bar shall arise with access to data sample shown on graf user can confirm movement use android login as user identification and authentication app shall be able to enter movement by sequence recording sample app shall be able ready for google app engine integration with use of google cloud endpoint app shall be running in backgound in energy efficient mode - it is not neccessary to exactly every movement (i dont need each and every step, it is more like identification of sequnce of movement for some particular time) - for instance: I was running 10min, it is not a big problem if I made some steps walking during the time) I shall identify most significant movement in time period it shall be possible adjust/setup time delay between identification time period, setup time of movement identification (recommendations) identified pattern shall be stored in internal DB and deleted FIFO after defined capacity reached. it shall be possible to list in different identified patterns of different movement type project shall contain desciption of movement identification alghoritm