Portable stand for pathway illumination

A portable stand for cognitive guidance assistance, the stand comprising:

• a rotatable platform;
• a wheel operatively connected to the rotatable platform;
• an electronic device operatively connected to the rotatable platform, wherein the electronic device comprises:
• a camera operatively connected to a processor;
• a sensor operatively connected to the processor;
• a projector operatively connected to the processor;
• a display screen operatively connected to the processor;
• and
• a speaker operatively connected to the processor, and
• wherein the processor is configured to:
• train a machine learning algorithm by:
• collecting sensor data representing user movement patterns and environmental interactions during initial device use;
• establishing baseline task completion patterns specific to baseline cognitive capabilities of a user and the sensor data;
• implementing pattern recognition algorithms to identify deviations from baseline performance;
• and
• establishing updated task completion patterns to align with a predefined sequence of daily activities for the user;
• instruct the projector to project a first illuminated pathway between a current location of a user and a first target location based on the predefined sequence of daily activities for the user and the updated task completion patterns established by the machine learning algorithm;
• present at least one of task-specific audio and visual instructional content through at least one of the display screen and speaker for a current activity in the predefined sequence of daily activities analyzed by the machine learning algorithm;
• analyze activity data captured by the camera and the sensor to monitor completion of the current activity;
• deactivate projection of the first illuminated pathway from the projector upon detecting user arrival at the first target location;
• and
• control an operational output of the projector to adjust pathway routing, intensity, and illumination characteristics, or a combination thereof, of illuminated pathways, based on the updated task completion patterns established by the machine learning algorithm,
• wherein the projector comprises (i) a laser emitter to produce visible light, and (ii) a waveguide to optically direct the illuminated pathway in a plurality of angles through optical redirection, and
• wherein the processor processes raw sensor data from the sensor through a signal conditioning algorithm that filters noise and normalizes variations in sensor response before analysis by the machine learning algorithm,
• wherein the machine learning algorithm establishes personalized timing thresholds based on a user performance history,
• wherein the processor modifies outputs of linked hardware devices when the user does not move toward the first illuminated pathway within an established timing threshold by increasing an illumination intensity of the projector, and activating an output displayed on the display screen, or a combination thereof,
• wherein the processor is configured to generate periodic cognitive assessment reports based on task performance data, and
• wherein the processor is configured to alert caregivers if the task completion patterns indicate declining cognitive function of the user based on comparisons to learning patterns of the machine learning algorithm.

A non-transitory computer-readable medium storing instructions that, when executed by a processor of a portable guidance device mounted on a portable stand with a wheel, cause the processor to:

• train a machine learning algorithm by:
• collecting sensor data representing user movement patterns and environmental interactions during initial device use;
• establishing baseline task completion patterns specific to baseline cognitive capabilities of a user and the sensor data;
• implementing pattern recognition algorithms to identify deviations from baseline performance;
• and
• establishing updated task completion patterns to align with a predefined sequence of daily activities for the user;
• control a projector comprising a laser emitter and a waveguide to project visible light beams through the waveguide to create illuminated pathways in a plurality of angles;
• process raw sensor data from at least one sensor through signal conditioning algorithms that filter noise and normalize variations in sensor response;
• analyze the processed sensor data using the machine learning algorithm;
• identify a current location of a user based on data captured by a camera;
• instruct the projector to project a first illuminated pathway between the current location and a first target location based on the predefined sequence of daily activities for the user and the updated task completion patterns established by the machine learning algorithm;
• present task-specific instructional content through at least one of a display screen and a speaker;
• analyze activity data captured by the camera and the at least one sensor to monitor completion of a current activity;
• deactivate projection of the first illuminated pathway upon detecting user arrival at the first target location;
• instruct the projector to project a second illuminated pathway from the first target location to a second target location upon verification of completion of the current activity;
• control an operational output of the projector to adjust pathway routing, intensity, and illumination characteristics, or a combination thereof, of the illuminated pathways, based on the updated task completion patterns established by the machine learning algorithm;
• establish personalized timing thresholds based on a user performance history;
• modify outputs of linked hardware devices when the user does not move toward the first illuminated pathway within an established timing threshold by increasing an illumination intensity of the projector, and activating an output displayed on the display screen, or a combination thereof;
• generate periodic cognitive assessment reports based on task performance data;
• and
• alert caregivers if the task completion patterns indicate declining cognitive function of the user based on comparisons to learning patterns of the machine learning algorithm.