Cloud coaching artificial intelligence

A cloud-enabled and artificial intelligence (AI) based biosignal method for enhancing biosignal enabled devices based on device usage, the cloud-enabled and artificial intelligence biosignal method comprising:

• aggregating, at a cloud based server comprising a server processor and a server memory, biosignal data as collected from respective users of one or more biosignal enabled devices, each of the one or more biosignal enabled devices comprising a device processor and a device memory storing a first AI based coaching model, and each of the one or more biosignal enabled devices configured to collect biosignal data from the respective users;
• training an enhanced AI based coaching model with the aggregated biosignal data as input as training data, wherein the enhanced AI based coaching model is configured to output one or more device usage classifications;
• providing the enhanced AI based coaching model to the one or more biosignal enabled devices, wherein the enhanced AI based coaching model replaces or updates the first AI based coaching model in the device memory of the one or more biosignal enabled devices;
• receiving, at a biosignal enabled device of a user, user-specific biosignal data of the user, wherein the biosignal enabled device of the user comprises one of the one or more biosignal enabled devices;
• inputting, at the biosignal enabled device of the user, the user-specific biosignal data into the enhanced AI based coaching model, wherein the enhanced AI based coaching model outputs a device usage classification;
• and
• initiating a coaching procedure based on the device usage classification, wherein the coaching procedure causes rendering of visual instructions on a display screen communicatively coupled to the biosignal enabled device of the user,
• wherein the visual instructions are provided to coach the user how to use or configure the biosignal enabled device of the user to implement an updated configuration for the biosignal enabled device of the user.

A tangible, non-transitory computer-readable medium storing instructions for enhancing biosignal enabled devices based on device usage, that when executed by one or more processors cause the one or more processors to:

• aggregate, at a cloud based server comprising a server processor and a server memory, biosignal data as collected from respective users of one or more biosignal enabled devices, each of the one or more biosignal enabled devices comprising a device processor and a device memory storing a first AI based coaching model, and each of the biosignal enabled devices configured to collect biosignal data from the respective users;
• train an enhanced AI based coaching model with the aggregated biosignal data as input as training data, wherein the enhanced AI based coaching model is configured to output one or more device usage classifications;
• provide the enhanced AI based coaching model to the one or more biosignal enabled devices, wherein the enhanced AI based coaching model replaces or updates the first AI based coaching model in the device memory of the one or more biosignal enabled devices;
• receive, at a biosignal enabled device of a user, user-specific biosignal data of the user, wherein the biosignal enabled device of the user comprises one of the one or more biosignal enabled devices;
• input, at the biosignal enabled device of the user, the user-specific biosignal data to the enhanced AI based coaching model, wherein the enhanced AI based coaching model outputs a device usage classification;
• and
• initiate a coaching procedure based on the device usage classification, wherein the coaching procedure causes rendering of visual instructions on a display screen communicatively coupled to the biosignal enabled device of the user,
• wherein the visual instructions are provided to coach the user how to use or configure the biosignal enabled device of the user to implement an updated configuration for the biosignal enabled device of the user.