Method and system for online non-intrusive fatigue-state detection in a robotic co-working environment
AssigneeTata Consultancy Services Limited
InventorsChayan Sarkar, Pradip Pramanick
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Abstract
A method and a robotic system for online localized fatigue-state detection of a subject in a co-working environment using a non-intrusive approach is disclosed. A force sensor, mounted on the robotic system is capable of capturing effective force applied by local muscles of the subject co-working with the robotic system, providing a non-intrusive sensing. The captured force is analyzed on-line by the robotic system 102 to detect current fatigue state of the subject and proactively predict the future state of the subject. Thus, enables alerting the subject before time avoiding any possible accident.
Claims7
A robotic system for non-intrusive fatigue-state detection in a co-working environment, wherein the robotic system comprises:
- one or more processors;
- an Input/Output (I/O) interface;
- a memory, the memory storing instructions that, when executed by the one or more processors, configured the one or more processors to:
- receive, from a sensor mounted on a robotic organ of the robotic system, a signal corresponding to a force applied by a localized muscle of a subject, sensed by the sensor, while jointly performing a task with the robotic system in the co-working environment;
- detect transition of the received signal from a zero value to a non-zero value, wherein the non-zero value at the transition corresponds to a non-fatigue state of the subject;
- determine, on detection of the transition of the received signal to the non-zero value, a current fatigue state of the subject among a plurality of fatigue states, wherein the current fatigue state is determined based on an initial average force (FI) associated with the non-fatigue state, wherein the plurality of fatigue states comprise the non-fatigue state, a plurality of intermediate fatigue states and a critical fatigue state;
- and
- generate an alert for aborting the task if the current fatigue state is determined as the critical fatigue state.
A method for non-intrusive fatigue-state detection in a co-working environment, wherein the method comprises:
- receiving, from a sensor, a signal corresponding to a force applied by a localized muscle of a subject, sensed by the sensor, while jointly performing a task with a robotic system in the co-working environment;
- detecting transition of the received signal from a zero value to a non-zero value, wherein the non-zero value at the transition corresponds to a non-fatigue state of the subject;
- determining on detection of the transition of the received signal to the non-zero value, a current fatigue state of the subject among a plurality of fatigue states, wherein the current fatigue state is determined based on an initial average force (FI) associated with the non-fatigue state, wherein the plurality of fatigue states comprise the non-fatigue state, a plurality of intermediate fatigue states and a critical fatigue state;
- and
- generating an alert for aborting the task if the current fatigue state is determined as the critical fatigue state.
One or more non-transitory machine readable information storage media storing instructions which when executed by one or more hardware processors cause the one or more hardware processors to perform a method comprising:
- receiving a signal corresponding to a force applied by a localized muscle of a subject, sensed by a sensor, while jointly performing a task with a robotic system in a co-working environment;
- detecting transition of the received signal from a zero value to a non-zero value, wherein the non-zero value at the transition corresponds to a non-fatigue state of the subject;
- determining on detection of the transition of the received signal to the non-zero value, a current fatigue state of the subject among a plurality of fatigue states, wherein the current fatigue state is determined based on an initial average force (FI) associated with the non-fatigue state, wherein the plurality of fatigue states comprise the non-fatigue state, a plurality of intermediate fatigue states and a critical fatigue state;
- and
- generating an alert for aborting the task if the current fatigue state is determined as the critical fatigue state.
Dependencies are inferred from the claim text.