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Mind-healing Empathy Device

ORDINARY APPLICATION

Published

date

Filed on 2 November 2024

Abstract

The Mind-Healing Empathy Device is an innovative system designed to enhance emotional communication by translating brainwave signals into tailored musical compositions. The device utilizes a network of EEG sensors strategically placed on the subject’s head to capture real-time brainwave data. This data is processed to identify and classify emotional states using advanced algorithms. The classified emotional data is then converted into soothing music, which is played through existing music streaming platforms, providing non-disruptive, real-time emotional feedback. The device integrates EEG signal analysis with affective computing to foster deeper empathy and understanding in interpersonal interactions, making it applicable in both personal and professional settings.

Patent Information

Application ID202431083882
Invention FieldBIO-MEDICAL ENGINEERING
Date of Application02/11/2024
Publication Number45/2024

Inventors

NameAddressCountryNationality
Ms. Antara MalakarPhD Scholar, Assam Royal Global University Guwahati Assam India 781035IndiaIndia
Dr. Ankur GangulyDean - Academics, The Assam Royal Global University Betkuchi, Opp. Tirupati Balaji Temple/ ISBT, NH-37, Dist- Kamrup( Metro), Guwahati Assam India 781035IndiaIndia
Dr. Susmita DasAssistant Professor, Electronics and Computer Science, Narula Institute of Technology, 81, Nilgunj Rd, Jagarata Pally, Deshpriya Nagar, Kolkata West Bengal India 700109IndiaIndia
Mr. Sparsha ChakrabortyB.Tech Student, Narula Institute of Technology, 81, Nilgunj Rd, Jagarata Pally, Deshpriya Nagar, Kolkata West Bengal India 700109IndiaIndia
Mr. Sayantan MaitraB.Tech Student, Narula Institute of Technology, 81, Nilgunj Rd, Jagarata Pally, Deshpriya Nagar, Kolkata West Bengal India 700109IndiaIndia
Md Avaish SiddiquiB.Tech Student, Narula Institute of Technology, 81, Nilgunj Rd, Jagarata Pally, Deshpriya Nagar, Kolkata West Bengal India 700109IndiaIndia
Mrs. Paromita DasAssistant Professor, Amity University Major Arterial Road, AA II, Newtown, Kadampukur, Kolkata West Bengal India 700135IndiaIndia
Dr. Biswarup NeogiDean R&D, JIS College of Engineering, Block A5, Block A, Kalyani, West Bengal India 741235IndiaIndia

Applicants

NameAddressCountryNationality
Ms. Antara MalakarPhD Scholar, Assam Royal Global University Guwahati Assam India 781035IndiaIndia
Dr. Ankur GangulyDean - Academics, The Assam Royal Global University Betkuchi, Opp. Tirupati Balaji Temple/ ISBT, NH-37, Dist- Kamrup( Metro), Guwahati Assam India 781035IndiaIndia
Dr. Susmita DasAssistant Professor, Electronics and Computer Science, Narula Institute of Technology, 81, Nilgunj Rd, Jagarata Pally, Deshpriya Nagar, Kolkata West Bengal India 700109IndiaIndia
Mr. Sparsha ChakrabortyB.Tech Student, Narula Institute of Technology, 81, Nilgunj Rd, Jagarata Pally, Deshpriya Nagar, Kolkata West Bengal India 700109IndiaIndia
Mr. Sayantan MaitraB.Tech Student, Narula Institute of Technology, 81, Nilgunj Rd, Jagarata Pally, Deshpriya Nagar, Kolkata West Bengal India 700109IndiaIndia
Md Avaish SiddiquiB.Tech Student, Narula Institute of Technology, 81, Nilgunj Rd, Jagarata Pally, Deshpriya Nagar, Kolkata West Bengal India 700109IndiaIndia
Mrs. Paromita DasAssistant Professor, Amity University Major Arterial Road, AA II, Newtown, Kadampukur, Kolkata West Bengal India 700135IndiaIndia
Dr. Biswarup NeogiDean R&D, JIS College of Engineering, Block A5, Block A, Kalyani, West Bengal India 741235IndiaIndia

Specification

Description:Field of the Invention:
[001] The proposed invention centers on the development of an advanced Mind-Healing Empathy Device designed to enhance interpersonal empathy through affective computing. This device aims to bridge the gap in understanding human emotions by capturing and analyzing EEG signals alongside visible cues to produce emotionally congruent music. The core innovation involves the integration of a sophisticated EEG sensor system, utilizing electrodes strategically placed across key brain regions to detect and filter brainwave signals. These signals are then algorithmically converted into soothing music that aligns with the emotional state of the user. The device's methodology includes real-time data collection, pre-processing, and feature extraction to ensure accurate emotional representation. This approach not only augments emotional responses but also provides a non-disruptive way to facilitate deeper empathy and understanding in human interactions.

Background of the invention and related prior art:
[002] The background of the invention stems from the recognition that despite advancements in technology, there remains a significant gap in effectively capturing and responding to human emotions in real-time interactions. Traditional communication technologies often fail to address the nuanced and complex nature of human feelings, particularly empathy. Although it is a commonly held belief that humans use only a fraction of their brain's capacity, contemporary research suggests that our understanding of emotional processing is still limited. The Mind-Healing Empathy Device addresses this gap by leveraging EEG technology to monitor and interpret brainwave patterns associated with various emotions. By translating these patterns into tailored musical responses, the device aims to enhance emotional communication and empathy, offering a novel approach to bridging emotional gaps between individuals in both personal and professional contexts.
[003] In a patent document US12029573B2 discloses a system and method provided for associating bio-signal data (e.g. EEG brain scan data) from at least one user with at least one music data item (e.g. song, or piece of music). By associating bio-signal data, or emotions determined therefrom, with music, the system may establish a data store of music associated with emotions. That database may then be leveraged upon determining that a user is feeling a particular emotion through an EEG scan. When a particular emotion is detected in EEG data of a user, the system may then respond based at least partly on the same or similar emotion being associated with one or more music data items in the system. For example, the system may recommend a particular song associated with the same emotion presently being experienced by the user.
[004] Another patent document US20210141453A1 discloses a system and method for determining a vector of action based on a psychological state and a contextual state of a user. The system utilizes signals generated by biological processes to determine a user's psychological state and utilizes environmental conditions to determine a user's contextual state. The signals are detected by at least one user sensor within a wearable device, and the environmental conditions are detected by at least one context sensor of the system. The contextual state and psychological state are analyzed to create a vector of action for the user. A vector of action instructs the system to provide the user with an interface action based on the contextual state modified by the psychological state. Because the system continuously determines a user's psychological and contextual states, the system may continuously provide the user with interface actions relevant to the user's current emotional state and environment.
[005] A document CA3079431A1 discloses brain modelling that includes receiving time-coded bio-signal data associated with a user; receiving time-coded stimulus event data; projecting the
time-coded bio-signal data into a lower dimensioned feature space; extracting features from the lower dimensioned feature space that correspond to time codes of the time-coded stimulus event data to identify a brain response; generating a training data set for the brain response using the features; training a brain model using the training set, the brain model unique to the user; generating a brain state prediction for the user output from the trained brain model, and automatically computing similarity metrics of the brain model as compared to other user data; and inputting the brain state prediction to a feedback model to determine a feedback stimulus for the user, wherein the feedback model is associated with a target brain state.
[006] Another document EP4009870A1 discloses a camera system, comprising: an imager, configured to capture one or more images; an automated controller, configured to: control the imager, determine, based on a biometric input, a brain activity or emotional state, and at least one of: record the brain activity or emotional state in conjunction with a contemporaneous image; annotate the one or more images with the brain activity or emotional state; and control the camera dependent on the brain activity or emotional state.
[007] A patent document US10009644B2 discloses a computer system or method provided for modulating content based on a person's brainwave data, including modifying presentation of digital content at least one computing device. The content may also be modulated based on a set of rules maintained by or accessible to the computer system. The content may also be modulated based on user input, including through receipt of a presentation control command that may be processed by the computer system of the present invention to modify presentation of content. Content may also be shared with associated brain state information.
[008] None of these above patents, however alone or in combination, disclose the present invention. The invention consists of certain novel features and a combination of parts hereinafter fully described, illustrated in the accompanying drawings, and particularly pointed out in the appended claims, it being understood that various changes in the details may be made without departing from the spirit, or sacrificing any of the advantages of the present invention.
Summary of the invention:
[009] The Mind-Healing Empathy Device is an innovative solution designed to enhance emotional communication through real-time EEG signal analysis and affective computing. By employing a network of electrodes placed across key brain regions, the device captures and processes brainwave patterns linked to various emotions. It then translates these signals into customized, soothing music that resonates with the user's emotional state. This system not only augments emotional responses by integrating musical cues but also facilitates deeper empathy and understanding between individuals. The device's approach combines advanced EEG technology with algorithmically generated emotional music, aiming to improve interpersonal interactions and emotional support in a non-intrusive manner.

Detailed description of the invention with accompanying drawings:
[010] For the purpose of facilitating an understanding of the invention, there is illustrated in the accompanying drawing a preferred embodiment thereof, from an inspection of which, when considered in connection with the following description, the invention, its preparation, and many of its advantages should be readily understood and appreciated.
[011] The principal object of the invention is to develop Mind-healing empathy device. The Mind-Healing Empathy Device is a sophisticated system designed to bridge the emotional gap in human interactions by leveraging EEG technology and affective computing. Here's a detailed description of its components and functionality:

1. EEG Sensor System: The device utilizes a high-definition EEG sensor array to monitor brainwave activity. Electrodes are strategically placed across key brain regions:
- Four electrodes in the frontal cortex.
- Four electrodes in the medulla oblongata (neck region).
- Four electrodes positioned under each ear lobe.
2. Signal Acquisition and Processing: The EEG sensors capture real-time brainwave signals, focusing on various types of electromagnetic waves, including Alpha, Beta, Gamma, and Theta waves. These signals are initially raw and often contain noise from muscle movements and other sources. The system includes a bandpass filter, provided by the BIOAMP EXG PILL, to remove excess noise and isolate clean signal data.
3. Data Integration: The device combines EEG data with visual cues (captured through an integrated camera) to enhance the accuracy of emotional state detection. This combined data is processed simultaneously, involving:
- Pre-processing: Cleaning and preparing the raw EEG signals for analysis.
- Feature Extraction: Identifying key features of the emotional signals.
- Classification: Using artificial intelligence techniques to categorize emotions based on the processed data.
4. Emotion-to-Music Conversion: The core innovation lies in translating classified emotional data into music. The device uses an algorithm to generate or select soothing music that aligns with the detected emotional state. This music can be played through existing applications such as Spotify or YouTube Music, providing a non-disruptive auditory experience that matches the user's emotional expression.
5. User Interaction: During operation, the device provides real-time feedback to users by playing emotionally appropriate music based on their current state. This feature aims to enhance the emotional impact of the music and foster a deeper understanding of the user's feelings.
6. Prototype and Testing: Preliminary user studies have shown that the device can reliably generate music corresponding to emotions such as anger, happiness, fear, and sadness. These studies indicate that the presence of emotional music significantly augments the emotional responses elicited by visual cues.


Table 1: Database acquired from Human brain at different at Emotional state (according to Fig. 2& 3)
SL.NO. Electrode position Wave types Signal Output Range
(micro Volts) REMARKS
1 FC 1 Delta 0-10 The output excitation level is at the initial position.
Theta 14.47 Almost straight line
Beta 0-10 Continuous Fluctuation
Alpha 0-15.65 Highly Fluctuating
2 FC 2 Delta 0-9.06 The output excitation level is at the initial position.
Theta 9.06 Almost straight line
Beta 0-15.96 Continuous Fluctuation
Alpha 0-13.84 Highly Fluctuating
3 FC 3 Delta 0-7.11 The output excitation level is at the initial position.
Theta 7.07 Almost straight line
Beta 0-7.05 Continuous Fluctuation
Alpha 0-15.08 Highly Fluctuating
4 FC 4 Delta 0-7.07 The output excitation level is at the initial position.
Theta 7.07 Almost straight line
Beta 0-8.68 Continuous Fluctuation
Alpha 0-25.77 Highly Fluctuating
5 MO 1 Delta 0-9.94 The output excitation level is at the initial position.
Theta 21.15 Almost straight line
Beta 0-18.33 Continuous Fluctuation
Alpha 0-21.15 Highly Fluctuating
6 MO 2 Delta 0-10.28 The output excitation level is at the initial position.
Theta 14.47 Almost straight line
Beta 0-14.47 Continuous Fluctuation
Alpha 0-17.18 Highly Fluctuating
7 MO 3 Delta 0-8.59 The output excitation level is at the initial position.
Theta 14.73 Almost straight line
Beta 0-18.01 Continuous Fluctuation
Alpha 0-15.01 Highly Fluctuating
8 MO 4 Delta 0-10.18 The output excitation level is at the initial position.
Theta 14.99 Almost straight line
Beta 0-14.99 Continuous Fluctuation
Alpha 0-15.17 Highly Fluctuating

Overall, the Mind-Healing Empathy Device represents a significant advancement in emotional communication technology, offering a novel approach to empathy and emotional support through the integration of EEG signal analysis and affective musical responses.
Figure 1. Schematic diagram of the Empathy Device connecting with Audio device via wireless connection according to the embodiment of the present invention.
Figure 2. Top view of the design of the Empathy device according to the embodiment of the present invention.
Figure 3. All side views of the Device connections to acquire emotional state from human brain according to the embodiment of the present invention.
Figure 4. Front and Rare views of Head with Bioelectrode placement according to the embodiment of the present invention.
Figure 5. Circuit Diagram of the Signal Conditioning of the Empathy Device according to the embodiment of the present invention.
Figure 6. Workflow Diagram of the Brain signal processing according to the embodiment of the present invention.
Figure 7. Algorithm of the brain signal of the brain by the software used to detect the EEG sensors according to the embodiment of the present invention.
Figure 8. Graphical presentation of MEDULLA OBLONGATA according to the embodiment of the present invention.
Figure 9. Graphical presentation of TRIGEMINAL NERVES (Side of the forehead) according to the embodiment of the present invention.
Figure 10. Prototype Design of the Empathy Device according to the embodiment of the present invention.
Figure 11. Side view of the Empathy Device according to the embodiment of the present invention.
Figure 12. Front view of the Empathy Device according to the embodiment of the present invention.
[012] Without further elaboration, the foregoing will so fully illustrate my invention, that others may, by applying current of future knowledge, readily adapt the same for use under various conditions of service. It should also be realized by those skilled in the art that such equivalent constructions do not depart from the spirit and scope of the invention.

Advantages over the prior art
[013] A Mind-healing empathy device proposed by the present invention has the following advantages over the prior art:
1. Enhanced Emotional Understanding: By translating EEG signals into music that reflects emotional states, the device provides a deeper and more nuanced understanding of a person's feelings, facilitating better empathy and communication.
2. Non-Intrusive Feedback: The use of soothing music to convey emotional states ensures that the device's operation is non-disruptive and unobtrusive, making it suitable for a variety of settings, including personal and professional environments.
3. Real-Time Emotional Response: The device's real-time processing capability allows for immediate feedback and adjustment of the emotional environment, improving the effectiveness of emotional support and interaction.
4. Integration with Existing Platforms: The ability to interface with popular music streaming services like Spotify or YouTube Music means that users can benefit from a wide range of music options, enhancing the flexibility and adaptability of the device.
5. Augmented Emotional Impact: Preliminary studies indicate that the device's emotional music can enhance the emotional responses generated by visual cues, leading to a more profound emotional experience and improved interpersonal connections.
6. Advanced Signal Processing: The combination of EEG sensors, noise filtering, and AI-driven classification ensures accurate and reliable detection of emotional states, improving the overall efficacy of the device.
7. Broad Applicability: The device's ability to address various emotions and integrate with existing technology makes it versatile for different applications, such as therapeutic settings, social interactions, and professional environments where emotional insight is valuable.
[014] In the preceding specification, the invention has been described with reference to specific exemplary embodiments thereof. It will be evident that various modifications and changes may be made thereunto without departing from the broader spirit and scope of the invention as set forth in the claims that follow. The specification and drawings are accordingly to be regarded in an illustrative rather than restrictive sense. Therefore, the aim in the appended claims is to cover all such changes and modifications as fall within the true spirit and scope of the invention. The matter set forth in the foregoing description and accompanying drawings is offered by way of illustration only and not as a limitation. The actual scope of the invention is intended to be defined in the following claims when viewed in their proper perspective based on the prior art.


, Claims:We claim:
1. A Mind-healing empathy device which consists of:
- An array of EEG sensors configured to detect brainwave signals from a subject's brain;
- A processing unit configured to preprocess, classify, and extract features from the EEG signals;
- An algorithm for translating classified emotional data into musical compositions;
- A music output system capable of interfacing with music streaming applications to play the generated musical compositions.
2. A Mind-healing empathy device as claimed in claim 1 wherein the EEG sensors are positioned in at least four regions of the subject's head, including the frontal cortex, medulla oblongata, and under each ear lobe.
3. A Mind-healing empathy device as claimed in claim 1 wherein the processing unit includes a bandpass filter for removing noise from the EEG signals.
4. A Mind-healing empathy device as claimed in claim 1 wherein the emotional data classification is performed using artificial intelligence techniques.
5. A Mind-healing empathy device as claimed in claim 1 further comprising a camera system for capturing visual cues from the subject to enhance emotional state detection.
6. A Mind-healing empathy device as claimed in claim 1 wherein the musical compositions generated are customized to reflect specific emotional states, including anger, happiness, fear, and sadness.
7. A Mind-healing empathy method which consists of:
- Capturing brainwave signals from a subject using an array of EEG sensors;
- Preprocessing and classifying the EEG signals to extract emotional data;
- Generating musical compositions based on the classified emotional data;
- Outputting the musical compositions through a music streaming application to provide real-time emotional feedback.
8. A Mind-healing empathy method as claimed in claim 7 wherein the EEG signals are filtered using a bandpass filter to remove noise.
9. A Mind-healing empathy method as claimed in claim 7 further comprising capturing visual cues from the subject to aid in the classification of emotional states.
10. A Mind-healing empathy method as claimed in claim 7 wherein the musical compositions are designed to enhance the emotional response elicited by visual cues.

Documents

NameDate
202431083882-COMPLETE SPECIFICATION [02-11-2024(online)].pdf02/11/2024
202431083882-DECLARATION OF INVENTORSHIP (FORM 5) [02-11-2024(online)].pdf02/11/2024
202431083882-DRAWINGS [02-11-2024(online)].pdf02/11/2024
202431083882-FORM 1 [02-11-2024(online)].pdf02/11/2024
202431083882-FORM-9 [02-11-2024(online)].pdf02/11/2024
202431083882-POWER OF AUTHORITY [02-11-2024(online)].pdf02/11/2024
202431083882-PROOF OF RIGHT [02-11-2024(online)].pdf02/11/2024
202431083882-REQUEST FOR EARLY PUBLICATION(FORM-9) [02-11-2024(online)].pdf02/11/2024

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