Directional recommendations based on movement tracking while performing an activity

A computer program product, the computer program product comprising one or more computer readable storage media and program instructions stored on the one or more computer readable storage media, the program instructions including instructions to:

• determine a current activity of an individual;
• compare movements of the individual while performing the current activity to movements associated with a reference activity;
• determine whether a performance level of respective movements of the individual while performing the current activity are within a predetermined performance range associated with corresponding movements in the reference activity;
• and
• responsive to determining that the performance level of at least one movement of the individual while performing the current activity is outside of the predetermined performance range of a corresponding movement included in the reference activity, generate, via a generative adversarial network (GAN), a directional guidance recommendation based, at least in part, on:
• a comparative analysis of the at least one movement of the individual while performing the current activity and the corresponding movement included in the reference activity, and a degree of deviation between the performance level of the at least one movement of the individual and an optimal performance level of the corresponding movement included in the reference activity;
• and
• display the generated directional guidance recommendation to the individual while the individual is performing the current activity.

A computer system comprising:

• one or more computer processors;
• one or more computer readable storage media;
• computer program instructions;
• the computer program instructions being stored on the one or more computer readable storage media for execution by the one or more computer processors;
• and
• the computer program instructions including instructions to:
• determine a current activity of an individual;
• compare movements of the individual while performing the current activity to movements associated with a reference activity;
• determine whether a performance level of respective movements of the individual while performing the current activity are within a predetermined performance range associated with corresponding movements in the reference activity;
• and
• responsive to determining that the performance level of at least one movement of the individual while performing the current activity is outside of the predetermined performance range of a corresponding movement included in the reference activity, generate, via a generative adversarial network (GAN), a directional guidance recommendation based, at least in part, on:
• a comparative analysis of the at least one movement of the individual while performing the current activity and the corresponding movement included in the reference activity, and a degree of deviation between the performance level of the at least one movement of the individual and an optimal performance level of the corresponding movement included in the reference activity;
• and
• display the generated directional guidance recommendation to the individual while the individual is performing the current activity.