HUMAN STRESS DETECTION SYSTEM

Abstract

ABSTRACT A human stress detection system (100) comprising: a plurality of physiological sensors configured to collect real-time data; a machine learning module integrated with the physiological sensors to analyze and detect stress patterns; a communication module within the system, configured to upload stress data to the control module; a processor within the control module, configured to manage and optimize the stress detection process, ensuring precision and efficiency. <>

Specification

Description:FIELD OF THE DISCLOSURE
[0001] This invention generally relates to a field of biomedical engineering and, in particular, to a system and method for detecting human stress using machine learning algorithms, enhancing precision, efficiency, and real-time monitoring capabilities in stress management and health assessment.
BACKGROUND

[0002] The subject matter discussed in the background section should not be assumed to be prior art merely as a result of its mention in the background section. Similarly, a problem mentioned in the background section or associated with the subject matter of the background section should not be assumed to have been previously recognized in the prior art. The subject matter in the background section merely represents different approaches, which in and of themselves may also correspond to implementations of the claimed technology.
[0003] Stress is a common physiological and psychological response to various external and internal stimuli, which can significantly impact an individual , Claims:WE CLAIM:
1. A human stress detection system (100) comprising:
a plurality of physiological sensors configured to collect real-time data;
a machine learning module integrated with the physiological sensors to analyze and detect stress patterns;
a communication module within the system, configured to upload stress data to the control module;
a processor within the control module, configured to manage and optimize the stress detection process, ensuring precision and efficiency.

2. The human stress detection system (100) as claimed in claim 1, wherein the plurality of physiological sensors includes, but is not limited to, heart rate monitors, galvanic skin response sensors, and electroencephalography sensors.

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