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SYSTEM FOR ANALYSING EMPLOYEE WELL-BEING

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SYSTEM FOR ANALYSING EMPLOYEE WELL-BEING

ORDINARY APPLICATION

Published

date

Filed on 9 November 2024

Abstract

ABSTRACT A system (100) for analysing employee well-being using emotional recognition, comprising a sensor array configured to capture data related to physiological responses of an employee, the sensor array including at least one of a camera, microphone, and wearable sensor, a data processor in communication with the sensor array, the data processor configured to analyse the captured data and identify emotional states of the employee by applying machine learning or pattern recognition techniques to the physiological data, a user interface for displaying an analysis of the employee's emotional state over time, the analysis including a well-being score or emotional trend and a feedback module that generates notifications or suggestions for improving employee well-being based on the emotional state data and well-being score.

Patent Information

Application ID202411086372
Invention FieldBIO-MEDICAL ENGINEERING
Date of Application09/11/2024
Publication Number47/2024

Inventors

NameAddressCountryNationality
KADALI BHARATHLOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI, G.T. ROAD, PHAGWARA, PUNJAB (INDIA) -144411IndiaIndia
SHAIK MAHAMMAD RAFILOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI, G.T. ROAD, PHAGWARA, PUNJAB (INDIA) -144411IndiaIndia
SURAJ KUMARLOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI, G.T. ROAD, PHAGWARA, PUNJAB (INDIA) -144411IndiaIndia
MR. GAURAV SHARMALOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI, G.T. ROAD, PHAGWARA, PUNJAB (INDIA) -144411IndiaIndia

Applicants

NameAddressCountryNationality
LOVELY PROFESSIONAL UNIVERSITYJALANDHAR-DELHI, G.T. ROAD, PHAGWARA, PUNJAB (INDIA) -144411IndiaIndia

Specification

Description:
FIELD OF THE DISCLOSURE
[0001] This invention generally relates to employee well-being analysis systems, and more specifically, to an emotional recognition system that assesses and monitors the emotional and psychological well-being of employees in the workplace.
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] The importance of employee well-being has become increasingly recognized in organizational environments, with growing interest in systems that can monitor, assess, and improve employees' mental and emot , Claims:WE CLAIM:
1. A system (100) for analysing employee well-being using emotional recognition, comprising:
a sensor array configured to capture data related to physiological responses of an employee, the sensor array including at least one of a camera, microphone, and wearable sensor;
a data processor in communication with the sensor array, the data processor configured to analyse the captured data and identify emotional states of the employee by applying machine learning or pattern recognition techniques to the physiological data;
a user interface for displaying an analysis of the employee's emotional state over time, the analysis including a well-being score or emotional trend; and
a feedback module that generates notifications or suggestions for improving employee well-being based on the emotional state data and well-being score.

2. The system (100) for analysing employee well-being as claimed in claim 1, wherein the sensor array includes a facial recognition camera configured to detect facial expressions, a

Documents

NameDate
202411086372-COMPLETE SPECIFICATION [09-11-2024(online)].pdf09/11/2024
202411086372-DECLARATION OF INVENTORSHIP (FORM 5) [09-11-2024(online)].pdf09/11/2024
202411086372-DRAWINGS [09-11-2024(online)].pdf09/11/2024
202411086372-FIGURE OF ABSTRACT [09-11-2024(online)].pdf09/11/2024
202411086372-FORM 1 [09-11-2024(online)].pdf09/11/2024
202411086372-FORM-9 [09-11-2024(online)].pdf09/11/2024
202411086372-POWER OF AUTHORITY [09-11-2024(online)].pdf09/11/2024
202411086372-PROOF OF RIGHT [09-11-2024(online)].pdf09/11/2024
202411086372-REQUEST FOR EARLY PUBLICATION(FORM-9) [09-11-2024(online)].pdf09/11/2024

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