SYSTEMS AND METHODS FOR ORCHESTRATING WORKOUT VIDEO SESSIONS
Disclosed are example embodiments of systems and methods for displaying a workout session having a virtual wall of live streams. The system includes one or more processors and a memory coupled to the one or more processors. The memory has instructions that, when executed, cause the one or more processor to determine whether a plurality of participants are eligible to be presented on a wall of live streams of a live workout session based at least on an eligibility criteria. The memory also has instructions that, when executed, cause the one or more processor to display a video stream of a first participant from the plurality of participants on the wall of live streams based on the determination.
1 . A method displaying a workout session, the method comprising:
determining whether a plurality of participants are eligible to be presented on a wall of live streams of a live workout session based at least on an eligibility criteria;
displaying a video stream of a first participant from the plurality of participants on the wall of live streams based on the determination.
2 . The method of claim 1 , wherein the eligibility criteria comprise one or more performance metrics.
3 . The method of claim 1 , wherein the eligibility criteria comprise one or more previous performance metrics.
4 . The method of claim 1 , wherein the eligibility criteria comprise a community score of each of the plurality of participants.
5 . The method of claim 1 , further comprising:
monitoring the video stream of the first participant to detect inappropriate activity; and
removing the video stream of the first participant from the wall of live streams based on detection of inappropriate activity.
6 . The method of claim 5 , wherein monitoring to detect inappropriate activity comprises analyzing, using one or more AI-engines, the video stream of the first participant to identify and classify inappropriate attire.
7 . The method of claim 5 , wherein monitoring to detect inappropriate activity comprises analyzing, using one or more AI-engines, the video stream of the first participant to identify and classify inappropriate images in the background of the participant's video.
8 . The method of claim 5 , wherein monitoring to detect inappropriate activity comprises analyzing, using one or more AI-engines, the video stream of the first participant to identify and classify inappropriate gestures.
9 . The method of claim 1 , wherein the wall of live streams comprises a plurality of live streams of participants at various remote locations.
10 . A system for displaying a workout session having a virtual wall of live streams, the system comprising:
one or more processors;
a memory coupled to the one or more processors, the memory having instructions that when executed cause the one or more processor to:
determine whether a plurality of participants are eligible to be presented on a wall of live streams of a live workout session based at least on an eligibility criteria;
display a video stream of a first participant from the plurality of participants on the wall of live streams based on the determination.
11 . The system of claim 10 , wherein the eligibility criteria comprise one or more performance metrics.
12 . The system of claim 10 , wherein the eligibility criteria comprise one or more previous performance metrics.
13 . The system of claim 10 , wherein the eligibility criteria comprise a community score of each of the plurality of participants.
14 . The system of claim 10 , wherein the instructions is further configured to cause the one or more processors to:
monitor the video stream of the first participant to detect inappropriate activity; and
remove the video stream of the first participant from the wall of live streams based on detection of inappropriate activity.
15 . The system of claim 14 , wherein the instruction to detect inappropriate activity comprises instructions to analyze, using one or more AI-engines, the video stream of the first participant to identify and classify inappropriate attire.
16 . The method of claim 15 , wherein the instruction to detect inappropriate activity comprises instructions to analyze, using one or more AI-engines, the video stream of the first participant to identify and classify inappropriate images in the background of the participant's video.
17 . The method of claim 15 , wherein the instruction to detect inappropriate activity comprises instructions to analyze, using one or more AI-engines, the video stream of the first participant to identify and classify inappropriate gestures.