PAM-Physical Fitness: PREDICTION OF FITNESS AND PHYSICAL ACTIVITY LEVEL USING MACHINE LEARNING PROGRAMMING

摘要

#$%^&*AU2020102010A420201001.pdf#####Patent Title: PAM-Physical Fitness: PREDICTION OF FITNESS AND PHYSICAL ACTIVITY LEVEL USING MACHINE LEARNING PROGRAMMING. ABSTRACT Our invention "PAM-Physical Fitness" is a process and computer programs are presented for creating a unified data stream from multiple data streams acquired from multiple devices. The Invented single method includes an operation for receiving activity data streams from the devices, each activity data stream being associated with physical activity data of a any user. The invented the method also includes an operation for assembling the unified activity data stream for a period of time. The unified activity data stream includes data segments from the data streams of at least two devices, and the data segments are organized time-wise over the period of time. A server includes a communications module, a memory, and a processor. The communications module is operable to receive a plurality of activity data streams from a plurality of devices and each activity data stream being associated with physical activity data of a user. The invented method the memory is operable to store the plurality of activity data streams and a unified activity data stream that includes data segments from the data streams of at least two devices of the plurality of devices. In addition to the processor is operable to assemble the unified activity data stream for the user over a period of time. 23Dr. Vineet Tirth (Associate Professor) Dr. Ram Karan Singh (Professor) Dr. Manisha Bhatkulkar (Assistant Professor) Dr. Neeraj Kumar Shukla (Associate Professor) Dr. M. Ramkumar Raja (Associate Professor) Dr. Shilpi Birla (Associate Professor) Prof.(Dr.) S. B. Chordiya (Director-SIMMC-Campus) TOTAL NO OF SHEET: 07 NO OF FIG: 09 Home Ar Quality DQAnl-arO r tiCon 5A4 Po~en Count - medium UV indexbigh idak 0.3 ppm Carbon Monoxide -aceptable 6. rdsenw Hours exposed=3.5, low risk 43 minutes s hors 1253 steps (-SlEp Elency 0 0 emm Tys-.0e meway UM a... Ie~w aVws E- I~aMmy Low mosem FIG.1: IS A DIAGRAM DATA THAT COULD BE COLLECTED DURING A PERSON'S DAILY ROUTINE.