NYU Mobility

NYU Mobility is a tracking application built for iOS (in Swift), used to track mobility movement. Using gyroscope sensors and GPS tracking services, the app tracks steps taken, orientation, and GPS location at different points of time. The data that is collected, is given to researchers and specialists.

How to Use

Registration

Users select whether they are a specialist or a client when they start up the app for the first time.

If a user is a specialist, a unique code will be presented. This code is for clients to connect with their specialists.

Tracking

All a client needs to do to track a session is tap on the start button. They can stop at any given point by tapping the stop button. Once a session is completed, the client can share the video with their specialist, currently through email.

Specialists can have multiple clients, so when they open up the app, they will have to select a client to work with.

Specialists also have an additional form of visual tracking. The visual tracking option offers the same JSON file as the client tracking feature, but also offers a video with it. It can be used to track where the user goes, and see what movements should be noted. To access this mode, there is a small bar at the bottom of the tracking controller to switch modes. Specialists can see their sessions on the upper right hand corner of their tracking screen.

Specialists also have access to the session tracking without visuals, just like the clients.

Sample Data

This is what a sample result file will look like:

[
  {
    "coordinates" : {
      "long" : [
        -122.39774834243978,
        -122.39775186831477,
        -122.39775307745653,
        -122.39774992768537,
        -122.39774480977732,
        -122.39771817788204,
        -122.3976953467614,
        -122.39767339618678,
        -122.39765101235834,
        -122.39764084524997,
        -122.39764758245487
      ],
      "lat" : [
        37.601402633790364,
        37.601402981699991,
        37.601403101009964,
        37.601371141411661,
        37.601392699959362,
        37.601354143559462,
        37.601327463623619,
        37.601305485049295,
        37.601286924471076,
        37.60126849328293,
        37.601266114056969
      ]
    },
    "time" : "2020-07-27 09:28:55",
    "steps" : 16,
    "distance" : 20,
    "avgPace" : 0.24452209472656772,
    "currCad" : 0,
    "currPace" : 0
  },
  {
    "currPace" : 0,
    "coordinates" : {
      "lat" : [
        37.601272666522789
      ],
      "long" : [
        -122.39764153328159
      ]
    },
    "gyroData" : {
      "y" : [
        -0.27315562963485718
      ],
      "z" : [
        -0.27126932144165039
      ],
      "x" : [
        -0.28011873364448547
      ]
    },
    "distance" : 20,
    "steps" : 16,
    "time" : "2020-07-27 09:28:55",
    "avgPace" : 0.3852367401123129,
    "currCad" : 0
  }
]