Changes between Version 9 and Version 10 of other/summer/2019/fitness-assist


Ignore:
Timestamp:
Aug 6, 2019, 3:05:55 PM (5 years ago)
Author:
JustinEsposito
Comment:

fix spelling issue

Legend:

Unmodified
Added
Removed
Modified
  • other/summer/2019/fitness-assist

    v9 v10  
    33== Synopsis ==
    44
    5 Workers cannot dedicate appropriate time during the day to travel to dedicated exercises places, resulting in a population that either does not exercise, or attempts to exercise at home. Unfortunately, those who work out at home have difficulty analyzing their exercise form, which could result in harmful muscle strain or other personal injury. Personalized trainers, while possibly effective, run a significant cost. Fit-bits cannot measure exercise form, only heart rate and select other thinks. Smart sensor suites are expensive and have to be attached to a body to be effective, which is uncomfortable, unnatural, and may impede exercise form. Our solution is a device-free personalized fitness assistant that analyzes the channel state information of existing !WiFi infrastructure. Our system detects four common exercises (push-ups, squats, sit-ups/crunches, and curls) and analyzes several factors to assess the workout quality for the user.
     5Workers cannot dedicate appropriate time during the day to travel to dedicated exercises places, resulting in a population that either does not exercise, or attempts to exercise at home. Unfortunately, those who work out at home have difficulty analyzing their exercise form, which could result in harmful muscle strain or other personal injury. Personalized trainers, while possibly effective, run a significant cost. Fit-bits cannot measure exercise form, only heart rate and select other things. Smart sensor suites are expensive and have to be attached to a body to be effective, which is uncomfortable, unnatural, and may impede exercise form. Our solution is a device-free personalized fitness assistant that analyzes the channel state information of existing !WiFi infrastructure. Our system detects four common exercises (push-ups, squats, sit-ups/crunches, and curls) and analyzes several factors to assess the workout quality for the user.
    66
    77== Tools ==