Method and system for predicting fall of a user

A system comprising:

• a memory configured to store computer-executable instructions;
• and
• one or more processors configured to execute the computer-executable instructions to:
• receive, from an electromagnetic sensor, a plurality of signals associated with a user, wherein the plurality of signals is received over a predefined period of time;
• detect a static attribute and a dynamic attribute associated with the user, based on the plurality of signals, wherein the static attribute is associated with a static balance of the user, and wherein the dynamic attribute is associated with one of:
• a dynamic balance, or a gait of the user;
• determine a current static attribute score indicative of a measure of the respective static attribute, and a current dynamic attribute score indicative of a measure of the respective dynamic attribute, based on the plurality of signals;
• determine a first comparison value based on a comparison between the current static attribute score and a predetermined static attribute score;
• determine a second comparison value based on a comparison between the current dynamic attribute score and a predetermined dynamic attribute score;
• determine a current activity score associated with an activity performed by the user based on the plurality of signals, wherein the activity score is indicative of at least one of:
• a time taken to perform the activity and a frequency of performing the activity;
• determine a third comparison value based on a comparison between the current activity score and a predetermined activity score;
• predict a fall score associated with the user based on the first comparison value, the second comparison value, and the third comparison value, wherein the fall score is indicative of an anticipated fall of the user;
• and
• output the predicted fall score for displaying to a second user.

A computer programmable product comprising a non-transitory computer-readable medium having stored thereon computer-executable instructions, which when executed by one or more processors, cause the one or more processors to carry out operations for predicting fall of a user, the operations comprising:

• receiving, from an electromagnetic sensor, a plurality of signals associated with a user, wherein the plurality of signals is received over a predefined period of time;
• detecting a static attribute and a dynamic attribute associated with the user, based on the plurality of signals, wherein the static attribute is associated with a static balance of the user, and wherein the dynamic attribute is associated with one of:
• a dynamic balance, or a gait of the user;
• determining a current static attribute score indicative of a measure of the respective static attribute, and a current dynamic attribute score indicative of a measure of the respective dynamic attribute, based on the plurality of signals;
• determining a first comparison value based on a comparison between the current static attribute score and a predetermined static attribute score;
• determining a second comparison value based on a comparison between the current dynamic attribute score and a predetermined dynamic attribute score;
• determining a current activity score associated with an activity performed by the user based on the plurality of signals, wherein the activity score is indicative of at least one of:
• a time taken to perform the activity and a frequency of performing the activity;
• determining a third comparison value based on a comparison between the current activity score and a predetermined activity score;
• predicting a fall score associated with the user based on the first comparison value, the second comparison value, and the third comparison value, wherein the fall score is indicative of an anticipated fall of the user;
• and
• outputting the predicted fall score for displaying to a second user.