Abstract: The present invention, titled “Dual Verification method with signature and speech recognition for users having the neurological disorder,” is a system that enables a user with Parkinson’s disease (PD) to verify their identity through two-step authentication, viz., handwritten signature and voice. It utilizes the dual advantage of DL and IOT to implement the system, wherein the input is in the form of an image and audio file. Both the inputs are trained parallelly using neural network architecture (CNN and RNN) and are implemented using a microcontroller (Raspberry Pi). The present invention can potentially increase the verification system's efficiency for users with PD. This also allows the user with PD to have a smooth and fast operation in sectors requiring identification and is applicable across multiple industries such as finance, banking, insurance, home security, and others.
Description:Patent: - US9649049B2
Titled: - Systems and methods for interacting with an implantable medical device
Disclosure: - The cited document discloses an interactive implantable medical device system and a network-enabled external device capable of bi-directional communication and interaction with the implantable medical device. The external device is programmed to interact with other similarly-enabled devices. The system facilitates improved patient care by eliminating unnecessary geographic limitations on implantable medical device interrogation and programming and by allowing patients, physicians, and other users to access medical records, history, and information and to receive status and care-related alerts and messages anywhere, their is access to a communications network.
Problem: - The cited invention discloses a medical device that can communicate and interact with patients through an external apparatus connected in wireless mode. The device has no geographical limitations and thus allows remote access to medical records, history, and information. This device possesses no facility for identification of the user and is not suitable for patients suffering from a neurological disorder such as PD.
Solution: - The present invention uses both handwriting and speech to verify the proper identity of the users suffering from PD. The device need not be implanted in a patient’s body; it can be used in multiple sectors such as banking, home security, and insurance. The main objective of the invention is to identify users with prolonged PD and avoids hassle with two-step verification.
Patent: - KR100360480B1
Titled: - Personal identification device and method thereof
Disclosure: - The cited document discloses a user authentication device and a method thereof, wherein the apparatus for authenticating a user according to the present invention includes a reliability verifier for verifying whether a user can be trusted as an authenticated user and outputting a plurality of different types of reliability data representing a degree of reliability and a user authentication concerning the plurality of types of reliability data. It is characterized in that it comprises a determination unit for determining. The user authentication device can achieve a stable security function because there is less false authentication by combining voice and face authentication.
Problem: - The cited invention discloses a device wherein a user can be authenticated by combining voice and face authentication. The user authentication method uses biometric technology, comprising a reliability verification unit and a determination unit. The apparatus used has a complicated structure and is inconvenient for the users having PD as it requires contacting the authentication device every time.
Solution: - The present invention relates to identity authentication using handwriting and voice recognition. The present invention is built on a hybrid neural network architecture wherein handwriting detection is performed using a convolutional neural network and voice recognition using a recurrent neural network. The system can identify users with PD and provide support in multiple sectors for hassle-free operation.
Patent: - US20200060602A1
Titled: - Motion analysis systems and methods of use thereof
Disclosure: - The cited document generally relates to motion analysis systems and methods of use. In certain aspects, the system includes an image capture device, at least one accelerometer, and a central processing unit (CPU) with storage coupled to it for storing instructions that, when executed by the CPU, cause the CPU to receive the first set of motion data from the image capture device related to at least one joint of a subject while the subject is performing a task and receive a second set of motion data from the accelerometer related to the at least one joint of the subject while the subject is performing the task. The CPU also calculates kinematic and kinetic information about at least one joint of a subject from a combination of the first and second sets of motion data and outputs the kinematic and kinetic information for purposes of assessing a movement disorder.
Project: - The cited invention provides motion analysis systems that can objectively evaluate a subject for Parkinson's disease, or any movement disorder, based on motion data obtained from one or more joints of a subject. The system has multiple components and is used to detect only movements to evaluate the motion. The system is not capable of identifying any particular user through the movements.
Solution: - The present invention relates to identity authentication using handwriting and voice recognition. The present invention is based on a hybrid neural network architecture wherein handwriting detection is performed using a convolutional neural network and voice recognition using a recurrent neural network. The present invention captures time-series data and can detect the user with a history of PD. , Claims:We claim
1. A dual verification and authentication system for users with Parkinson’s disease comprising of software and hardware is characterized by two major parts (i) deep learning (DL) and (ii) internet of things (IoT), wherein the DL is a combination of convolutional and recurrent neural network (NN) architecture, wherein the user’s handwritten signature and voice is recognized and is used for verification, wherein the user’s signature and voice data is pre-stored and trained using NN and is deployed in systems requiring verification and identification.
2. A dual verification and authentication system for users with Parkinson’s disease, as claimed in claim 1, wherein the system is implemented in a platform integrated with biometrics technology.
3. A dual verification and authentication system for users with Parkinson’s disease, as claimed in claim 1, wherein the system is applied across multiple industrial sectors such as finance, banking, insurance, home security, and others.
4. A dual verification and authentication system for users with Parkinson’s disease, as claimed in claim 1, wherein the system is applicable and implemented for users without PD.
5. A dual verification and authentication system for users with Parkinson’s disease, as claimed in claim 1, wherein the system is embedded in other electronic applications such as smartphones, tablets, and portable displays.
| # | Name | Date |
|---|---|---|
| 1 | 202331056666-REQUEST FOR EXAMINATION (FORM-18) [24-08-2023(online)].pdf | 2023-08-24 |
| 2 | 202331056666-FORM 18 [24-08-2023(online)].pdf | 2023-08-24 |
| 3 | 202331056666-FORM 1 [24-08-2023(online)].pdf | 2023-08-24 |
| 4 | 202331056666-DRAWINGS [24-08-2023(online)].pdf | 2023-08-24 |
| 5 | 202331056666-COMPLETE SPECIFICATION [24-08-2023(online)].pdf | 2023-08-24 |
| 6 | 202331056666-FORM-5 [24-11-2025(online)].pdf | 2025-11-24 |