DYNAMIC LEADERBOARD VISUALIZATIONS IN A DISTRIBUTED ACTIVITY ENVIRONMENT
The disclosed embodiments are directed toward improvements in visualization of metrics generated by fitness devices. In one embodiment, a method is disclosed comprising receiving, at a fitness device over a network, activity data from a server, the activity data comprising data reported by other fitness devices during participation in an activity; extracting, by the fitness device, user data, position data, and output data from the activity data; and rendering, by the fitness device, a visualization of the activity data, the rendering comprising: rendering icons representing the user data relative to a baseline, a distance of each of the icons to the baseline determined based on the output data and spacing between the icons determined based on the position data, and rendering a curve, the curve connected to each of the icons.
1 . A method comprising:
receiving, at a fitness device over a network, activity data from a server, the activity data comprising data reported by other fitness devices during participation in an activity;
extracting, by the fitness device, user data, position data, and output data from the activity data; and
rendering, by the fitness device, a visualization of the activity data, the rendering comprising:
rendering icons representing the user data relative to a baseline, a distance of each of the icons to the baseline determined based on the output data and spacings between the icons determined based on the position data, and
rendering a curve, the curve connected to each of the icons.
2 . The method of claim 1 , wherein the output data includes an instantaneous power output of a respective user at a given timestamp.
3 . The method of claim 2 , wherein an item of the position data comprises a ranking of a respective user at a given timestamp.
4 . The method of claim 1 , wherein rendering the curve comprises rendering a base curve and adjusting a plurality of points of the base curve based on the activity data.
5 . The method of claim 1 , wherein rendering the curve comprises fitting a curve based on the activity data.
6 . The method of claim 1 , wherein the curve comprises a sinusoidal or polynomial curve.
7 . The method of claim 1 further comprising:
transmitting, by the fitness device, a measured output to the server;
receiving, at the fitness device, updated activity data; and
adjusting, by the fitness device, the curve based on the updated activity data.
8 . A non-transitory computer-readable storage medium for tangibly storing computer program instructions capable of being executed by a computer processor, the computer program instructions defining steps of:
receiving, at a fitness device over a network, activity data from a server, the activity data comprising data reported by other fitness devices during participation in an activity;
extracting, by the fitness device, user data, position data, and output data from the activity data; and
rendering, by the fitness device, a visualization of the activity data, the rendering comprising:
rendering icons representing the user data relative to a baseline, a distance of each of the icons to the baseline determined based on the output data and spacings between the icons determined based on the position data, and
rendering a curve, the curve connected to each of the icons.
9 . The non-transitory computer-readable storage medium of claim 8 , wherein the output data includes an instantaneous power output of a respective user at a given timestamp.
10 . The non-transitory computer-readable storage medium of claim 9 , wherein an item of the position data comprises a ranking of a respective user at a given timestamp.
11 . The non-transitory computer-readable storage medium of claim 8 , wherein rendering the curve comprises rendering a base curve and adjusting a plurality of points of the base curve based on the activity data.
12 . The non-transitory computer-readable storage medium of claim 8 , wherein rendering the curve comprises fitting a curve based on the activity data.
13 . The non-transitory computer-readable storage medium of claim 8 , wherein the curve comprises a sinusoidal or polynomial curve.
14 . The non-transitory computer-readable storage medium of claim 8 further comprising:
transmitting, by the fitness device, a measured output to the server;
receiving, at the fitness device, updated activity data; and
adjusting, by the fitness device, the curve based on the updated activity data.
15 . A device comprising:
a processor configured to:
receive, over a network, activity data from a server, the activity data comprising data reported by other fitness devices during participation in an activity;
extract user data, position data, and output data from the activity data; and
render a visualization of the activity data, the rendering comprising:
rendering icons representing the user data relative to a baseline, a distance of each of the icons to the baseline determined based on the output data and spacings between the icons determined based on the position data, and
rendering a curve, the curve connected to each of the icons.
16 . The device of claim 15 , wherein the output data includes an instantaneous power output of a respective user at a given timestamp.
17 . The device of claim 16 , wherein an item of the position data comprises a ranking of a respective user at a given timestamp.
18 . The device of claim 15 , wherein rendering the curve comprises rendering a base curve and adjusting a plurality of points of the base curve based on the activity data.
19 . The device of claim 15 , wherein rendering the curve comprises fitting a curve based on the activity data.
20 . The device of claim 15 , wherein the curve comprises a sinusoidal or polynomial curve.