US 2026/0295337 A1Published application

Sensor based adaptive techniques for calibration of objects and enabling tasks for users

AssigneeTata Consultancy Services Limited

InventorsSIVAKUMAR KUPPUSAMY SANTHANAM, LIKHITH PRASANNA KUMARA, VISHNU SIVAN, KAUSIK PADMANABHAN

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Abstract

With growing digitization, lifestyle has become sedentary for many citizens. This sedentary behaviour has proven to be dangerous to humans, leading to obesity, cancer, psychological disorders, etc. Hence, organizations and government entities/institutions are promoting an active life cycle. However, it is not easy. Use of mobile applications could be an easy approach to start with, but mobile devices worsen the sedentary behaviour. Gamification is a technique by which intended objectives or tasks performed by users are met through games. Present disclosure provides a system and method that implement sensor boards at different locations in an environment for enabling tasks to be performed by users based on calibrated objects in the environment. Calories burnt by the users are computed based on tasks performed and are compared with the target calories to be burnt. Based on the comparison, the speed of the calibrated objects and an associated difficulty level are adjusted.

Claims15

Dependent claims

A processor implemented method, comprising:

receiving, via one or more hardware processors, an input data pertaining to a user, wherein the input data comprises a weight, a height, an age and demographic data of the user;
computing, via the one or more hardware processors, an optimal gaze angle, a current position of eyes of the user, a reaction speed of the eyes of the user, and a reaction speed of one or more hand movements based on one or more indicators displayed on one or more sensor boards positioned and configured in an environment;
computing, via the one or more hardware processors, a target calorie to be burnt by the user based on the weight, the height, the age and the demographic data;
calibrating, via the one or more hardware processors, the one or more objects for movements at a specific speed based on the optimal gaze angle, the current position of the eyes of the user, the reaction speed of the eyes of the user and the reaction speed of the one or more hand movements, and aligning the one or more calibrated objects with a defined goal;
computing, via the one or more hardware processors, a set of joint angle movements performed by the user for reaching the defined goal, by using an approximated inverse kinematics technique;
computing, via the one or more hardware processors, a set of tasks performed by the user based on a torque at each joint and joint angle movement amongst the first set of joint angle movements;
computing, via the one or more hardware processors, a set of rate of change of the set of tasks based on a Euclidean distance between (i) movement of the user between the one or more sensor boards and (ii) a time taken for change in a status associated with the user;
computing, via the one or more hardware processors, a frequency of change in the set of tasks performed by the user based on a number of tasks changed and time of one or more observations associated therein;
computing, via the one or more hardware processors, a set of metabolic equivalent of tasks based on the frequency of change in the set of tasks performed by the user;
computing, via the one or more hardware processors, a set of calories burnt by the user based on the first set of metabolic equivalent of tasks;
performing, via the one or more hardware processors, a comparison of the set of calories and the target calorie;
and
adjusting, via the one or more hardware processors, speed of the one or more calibrated objects based on the comparison.

10 more elements

A system, comprising:

a memory storing instructions;
one or more communication interfaces;
and
one or more hardware processors coupled to the memory via the one or more communication interfaces, wherein the one or more hardware processors are configured by the instructions to:
receive an input data pertaining to a user, wherein the input data comprises a weight, a height, an age and demographic data of the user;
compute an optimal gaze angle, a current position of eyes of the user, a reaction speed of the eyes of the user, and a reaction speed of one or more hand movements based on one or more indicators displayed on one or more sensor boards positioned and configured in an environment;
compute a target calorie to be burnt by the user based on the weight, the height, the age and the demographic data;
calibrate the one or more objects for movements at a specific speed based on the optimal gaze angle, the current position of the eyes of the user, the reaction speed of the eyes of the user and the reaction speed of the one or more hand movements, and align the one or more calibrated objects with a defined goal;
compute a set of joint angle movements performed by the user for reaching the defined goal, by using an approximated inverse kinematics technique;
compute a set of tasks performed by the user based on a torque at each joint and joint angle movement amongst the first set of joint angle movements;
compute a set of rate of change of the set of tasks based on a Euclidean distance between (i) movement of the user between the one or more sensor boards and (ii) a time taken for change in a status associated with the user;
compute a frequency of change in the set of tasks performed by the user based on a number of tasks changed and time of one or more observations associated therein;
compute a set of metabolic equivalent of tasks based on the frequency of change in the set of tasks performed by the user;
compute a set of calories burnt by the user based on the first set of metabolic equivalent of tasks;
perform a comparison of the set of calories and the target calorie;
and
adjust speed of the one or more calibrated objects based on the comparison.

14 more elements

One or more non-transitory machine-readable information storage mediums comprising one or more instructions which when executed by one or more hardware processors cause:

receiving an input data pertaining to a user, wherein the input data comprises a weight, a height, an age and demographic data of the user;
computing an optimal gaze angle, a current position of eyes of the user, a reaction speed of the eyes of the user, and a reaction speed of one or more hand movements based on one or more indicators displayed on one or more sensor boards positioned and configured in an environment;
computing a target calorie to be burnt by the user based on the weight, the height, the age and the demographic data;
calibrating the one or more objects for movements at a specific speed based on the optimal gaze angle, the current position of the eyes of the user, the reaction speed of the eyes of the user and the reaction speed of the one or more hand movements, and aligning the one or more calibrated objects with a defined goal;
computing a set of joint angle movements performed by the user for reaching the defined goal, by using an approximated inverse kinematics technique;
computing a set of tasks performed by the user based on a torque at each joint and joint angle movement amongst the first set of joint angle movements;
computing a set of rate of change of the set of tasks based on a Euclidean distance between (i) movement of the user between the one or more sensor boards and (ii) a time taken for change in a status associated with the user;
computing a frequency of change in the set of tasks performed by the user based on a number of tasks changed and time of one or more observations associated therein;
computing a set of metabolic equivalent of tasks based on the frequency of change in the set of tasks performed by the user;
computing a set of calories burnt by the user based on the first set of metabolic equivalent of tasks;
performing a comparison of the set of calories and the target calorie;
and
adjusting speed of the one or more calibrated objects based on the comparison.

10 more elements

Dependencies are inferred from the claim text.