Method and device for capacitive touch panel based biosignal measurement

    公开(公告)号:US11432779B2

    公开(公告)日:2022-09-06

    申请号:US16823415

    申请日:2020-03-19

    Abstract: Many capacitive sensing based biosignal measurements methods exist, which are generic as they do not personalize biosignal measurement. Further, are do not provide device agnostic solutions. A method and system for capacitive touch panel based biosignal measurement is provided. The method senses a change in raw capacitance value of a capacitive touch panel. However, unlike existing methods that directly utilize the raw signal for biosignal measurements, the method disclosed derives a normalized signal by normalizing a raw signal corresponding to the change in raw capacitance of the capacitive touch panel. The normalization considers inter-relationships between a plurality of variables that affect the raw capacitance value such as a set of device specific parameters associated with the capacitive touch panel of the device, a set of ethnographic parameters, and metadata associated with the subject. Thus, method provides higher accuracy in biosignal measurement using capacitive touch panel based devices by personalizing the biosignal measurements.

    Method and system for digital biomarkers platform

    公开(公告)号:US12237086B2

    公开(公告)日:2025-02-25

    申请号:US17653248

    申请日:2022-03-02

    Abstract: Non-communicable diseases (NCDs) are the pandemics of modern era and are generating huge impact in the modern society. Conventional methods are inaccurate due to a challenge in handling data from heterogenous sensors. The present disclosure is capable of tracking fitness parameters of a user even with heterogenous sensors. Initially, the system receives a raw data from a plurality of heterogenous sensors associated with the user. The raw data is further transformed into a metadata format associated with the corresponding sensor. The transformed data is temporally aligned based on a time based slotting. An algorithm pipeline corresponding to a disorder to be analyzed is selected from a Directed Acyclic Graph (DAG) based on a sensor metadata and a plurality of algorithm metadata corresponding to a plurality of algorithms stored in an algorithm database and an algorithm pipeline. The corresponding disorder is analyzed using the algorithm pipeline.

    Method and system for proof of work (POW) based protection of resources

    公开(公告)号:US11645596B2

    公开(公告)日:2023-05-09

    申请号:US17449841

    申请日:2021-10-04

    CPC classification number: G06Q10/06313

    Abstract: State-of-the-art techniques hardly attempt to address controlled resource access problem in context of Basic Emergent Users (BEUs). Embodiments of the present disclosure provide a method and system for Proof of Work (POW) based protection of resources. The method includes using the POW for work done by BEUs in physical world and mapping it to digital world to generate crypto currency in terms of credit score, wherein an end user is eligible or authorized to use a resource of an entity to get a desired service if accumulated credit score is above a credit threshold. Gaining points to improve the credit score is challenging as it is based on percentage of compliance achieved by the BEU through actual work in accordance with a compliance protocol. Further, the method includes authenticating the authorized user based on a set of questions with increasing difficulty, derived based on a culture graph.

    Method and system for creating aesthetic design at scale

    公开(公告)号:US11062177B2

    公开(公告)日:2021-07-13

    申请号:US16554148

    申请日:2019-08-28

    Abstract: The use of gestures are increasing frequently. Normally these gestures are disconnected with each other. Therefore, various methods have been used for creating the gestural language. The existing methods for creating gestural language is difficult to learn and lacks design aesthetics. A method and system for creating aesthetic design language using a plurality of gestures is provided. The system takes in to account of aesthetics of the generated form of gestures and the user's constraints of movement—degrees of freedom. The system is using a socio-techno system which aids the machine assisted creation of aesthetic language for gestural interactions. A grammar has also been defined for creating the gestural language based on the domain. In the final stage of the system, the grammar and the form symbols are chosen/selected/published to present the interaction language to the user.

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