18 results about "Wearable sensing" patented technology

This invention relates to a wearable, integrated, self-powered pressure sensing device based on a flexible zinc-sodium hybrid battery and its fabrication method. The device includes an integrated sensor and a signal processing unit. The integrated sensor comprises a sensing layer, a shared positive electrode layer, and a battery layer arranged sequentially from top to bottom. The signal processing unit is connected to the sensing layer, the shared positive electrode layer, and the battery layer. This invention effectively overcomes the challenges of baseline instability and mechanical failure of flexible devices in complex environments by leveraging the sensitivity enhancement effect of MXene nanosheets, the zero-drift control technology of nylon mesh, and the low-temperature antifreeze mechanism of ethylene glycol (EG). This invention opens up a key path from "modification of basic electrochemical materials" to "portable terminal system applications," truly realizing portable, wide-temperature-range, and long-life in-situ online monitoring of human physiological signals, providing a new design paradigm for the engineering implementation of next-generation high-performance, low-power wearable sensing systems.

The application provides a silk fabric sensor and application thereof in gesture recognition, and belongs to the technical field of flexible electronics and wearable sensing. X MXene nanosheets are functional fillers, and Ti X MXene nanosheets are loaded on the surface of silk fibers through an immersion coating process to form a core-shell structure conductive fabric, and Ti X MXene and silk fibroin are stably combined through a hydrogen bond network and electrostatic interaction, the water vapor transmission rate of the sensor is more than 2000 g / m²・day, the sensitivity coefficient GF in the low strain region of 0-18% is 149.31, and the sensitivity coefficient GF in the high strain region of 18-32% is 24.57. X MXene nanosheets are functional fillers, and stable combination of MXene and silk fibers is realized through optimization of a preparation process, so that the application has high sensitivity, good air permeability and excellent fatigue resistance, and a high-precision and low-delay gesture recognition and human-computer interaction system is constructed.

The present application relates to the technical field of intelligent monitoring, in particular to an old people fall monitoring and early warning method and system based on multi-source information fusion, the system comprising a visual perception module, a wearable sensing module, a central processing unit and an early warning module. The method is as follows: collecting human posture video stream, human waist three-axis acceleration and three-axis angular velocity, foot pressure, heart rate and blood oxygen physiological data in the monitoring area; respectively analyzing visual posture information, inertial sensing and foot pressure data, and extracting key motion features; comprehensively analyzing the features of the three types of information sources, especially using the MediaPipe framework to efficiently analyze human posture, combining with wearable sensor data, adopting a multi-modal feature fusion strategy based on attention mechanism, improving the accuracy of multi-source information fusion, so as to accurately judge the stability of the current posture of the old people and the fall risk level, and timely trigger the early warning, improving the accuracy and safety of the monitoring.

The application provides a kind of based on swallowable and wearable sensing detection mutton sheep vitality level evaluation method and system, it is related to wisdom breeding and agricultural internet of things technical field.The method of the application comprises: obtaining mutton sheep rumen habitat physiological data and body surface kinematic data;The two types of data are preprocessed and multi-source time series are registered, and a multi-dimensional heterogeneous feature fusion input matrix is constructed;Based on the preset intelligent evaluation model of double-domain feature fusion network, the evaluation model is obtained by supervised training and dynamic optimization;Real-time feature tensor is input into the evaluation model to output vitality level evaluation results by non-gradient forward reasoning.The method fuses rumen physiological parameters and motion behavior parameters, and realizes objective, continuous and automatic evaluation.

The application provides a conductive hydrogel microneedle working electrode and a preparation method thereof and application of the conductive hydrogel microneedle wearable biosensor in potassium ion detection, and belongs to the technical field of wearable sensing analysis and detection, and is used for dynamically and real-timely monitoring concentration changes of potassium ions in the body, covering the concentration change range of K + in normal human bodies and unbalanced patient bodies. A double-network conductive hydrogel microneedle working electrode is prepared by using a hydrogel material with a double bond and a conductive polymer as a matrix, doping Prussian blue nanocrystals and then performing ultraviolet crosslinking. The Prussian blue nanocrystals can specifically react with K + and accompany electron transfer, so that the current response changes with the concentration change of K + . After a microneedle three-electrode system is constructed, the wearable biosensor is prepared by connecting a micro work station, the smart phone is connected through Bluetooth, real-time monitoring of the concentration of K + in the body is realized on the mobile phone, and a new method is provided for real-time monitoring of the concentration of K + in the body of a clinical patient and a healthy person.

This application discloses a dental trauma prediction and information recording system. This application relates to the field of oral medicine technology and aims to solve the technical problems of inaccurate extraction of tooth force signals caused by noise interference from saliva flow, chewing movements, etc. in the oral environment, and the inability to predict, warn, and retain information about dental trauma in real time, which makes it difficult to support clinical diagnosis and treatment. Its technical solution includes a wearable sensing module, an algorithm operation module, an early warning module, a storage module, a communication module, and a terminal display module. The wearable sensing module is a brace-like device that integrates multiple sensors to collect multimodal mechanical signals. The algorithm operation module uses a microcontroller as the core to complete the entire process of algorithm operation. All modules work together to realize signal acquisition, processing, prediction, early warning, storage, and visualization display.

This invention discloses a real-time visualization and dynamic calibration platform for standardizing massage techniques, comprising a wearable sensing device, a processing device, and a feedback device. The wearable sensing device is a smart massage glove integrating an optical detection unit, a pressure detection unit, and a motion sensing unit, used to simultaneously collect data on pressure points, pressure depth, and hand movements. The processing device, based on multi-sensor data fusion technology, identifies massage technique types through a machine learning model and compares real-time parameters with a standard technique database. The feedback device provides multimodal real-time calibration feedback based on the comparison results through vibration, display, and audio units. This invention overcomes the technical shortcomings of existing technologies, such as inaccurate pressure assessment due to differences in human tissue stiffness, single parameter measurement, and lack of real-time feedback. It achieves quantitative assessment, visual monitoring, and dynamic calibration of massage techniques, significantly improving the standardization of massage teaching and the safety of clinical operations.

This application relates to the field of 3D model simulation technology, and discloses a 3D model simulation method and system for demonstrating sports teaching movements. The method includes: acquiring a video sequence of teaching movements, including a sports field and a demonstrator wearing wearable sensing devices, using an image acquisition device; identifying fixed geometric features of the sports field in the video sequence and establishing a global reference coordinate system based on these features; determining the pose parameters of the image acquisition device relative to the global reference coordinate system and converting the teaching movements demonstrated by the demonstrator in the video sequence to the global reference coordinate system based on these pose parameters; performing spatial axial correction on the sensing data acquired by the wearable sensing devices based on the global reference coordinate system; and driving a 3D human model to generate a movement simulation sequence based on the teaching movements in the global reference coordinate system and the corrected sensing data, ensuring spatial consistency and the spatial accuracy of the final generated 3D model movement simulation.

This invention provides a smart monitoring system and method for live-line work based on wearable devices. The method involves collecting data during the work process using wearable sensing devices deployed on workers; transmitting the collected data to a local micro-server in real time via wireless LAN technology; uniformly storing and fusing the data on the server side; and using a preset joint threshold assessment algorithm to judge the personnel's vital signs and environmental risk level in real time, generating monitoring information including normal, warning, or abnormal states. The monitoring information is displayed in real time through a mobile terminal client interface, and a safety warning is automatically triggered when an abnormal state or environmental parameters exceed limits. This invention monitors detailed scenes at the work site, personnel vital signs, and environmental data in real time, focusing on small-scale scenes during live-line work, enabling efficient collaboration and safety supervision among on-site workers.

This application provides a self-driven temperature-pressure decoupled smart insole based on thermoelectric hydrogel and its preparation method, belonging to the field of flexible wearable sensing devices. It overcomes the defects of existing smart insoles, such as complex wiring, severe signal coupling, need for external power supply, and poor flexibility caused by the separate setting of temperature and pressure sensors. The smart insole adopts a layered encapsulation structure, which consists of an upper conductive layer, an upper insulating layer, a support layer, a lower insulating layer, and a lower conductive layer from top to bottom. The thermoelectric hydrogel sensing units with dual functions of temperature gradient response and pressure response are embedded in the support layer according to the pressure and temperature monitoring areas of the sole. By utilizing the different output signal types of thermoelectric hydrogel in open-circuit voltage mode and closed-circuit current mode, and through time-division switching between voltage acquisition mode and current acquisition mode, in-situ mode self-decoupling of temperature and pressure signals is achieved on the same sensing unit without the need for external decoupling algorithms.

This invention provides a stretchable flexible circuit based on a metal-liquid metal sliding structure, belonging to the field of flexible electronics. It includes a flexible substrate, at least one conductive layer, an electronic component layer, and a flexible packaging layer, all arranged in a stacked configuration. The conductive layer comprises an alternating stack of metal and liquid metal layers. The metal layers consist of at least two groups, each containing multiple metal segments isolated by scribe lines. The projections of the metal segments from adjacent groups of metal layers perpendicular to the stacking direction are staggered, forming a sliding-like structure during stretching. The liquid metal layer fills the spaces between adjacent metal layers and the gaps between the metal segments. During stretching, this structure dissipates stress through the cohesive flow of the liquid metal layer and the interfacial sliding between the metal segments, enabling the circuit to achieve a stretchability of 80%-150% without the need for serpentine wiring, while maintaining high conductivity and high wiring density. This makes it suitable for flexible electronics and wearable sensing applications.

The application discloses a pressure sensing label and antenna integrated structure for insoles and an implementation method thereof, and relates to the fields of radio frequency identification and wearable sensing technology.The structure comprises a flexible inverted F (PIFA) antenna and a ground back with a plane size of not more than about 50*50 mm, a low dielectric foam isolation layer with a thickness of 2-5 mm, a rigid-flex electronic island, a Pi type matching network, a thin film FSR voltage division network and a protection structure.The application solves the problems of large antenna frequency shift and low efficiency under near human body loading through the collaborative design of the PIFA antenna, the foam isolation and the high coverage ground back;the reliability under long-term stepping and sweat environment is improved by adopting the rigid-flex electronic island to isolate the sensitive device, cooperating with stress release and three-proof design;the passive scheme can realize 50-100 Hz level plantar pressure sampling and stable read-back under the conditions of a reader EIRP of 10-20 dBm and a distance of less than 15 cm, and is suitable for gait monitoring, powered exoskeleton control and other scenes.

The present application relates to the field of flexible electronics and wearable sensing technology, and provides a flexible strain sensor array for monitoring multi-directional movement of human body and a preparation and decoupling method. The flexible strain sensor array is formed by stacking three flexible strain sensors in a vertical direction, and the included angle between every two layers is 120°. Each flexible strain sensor comprises, from top to bottom, a substrate layer, a strain sensing layer and a packaging layer. The strain sensing layer is a conductive composite layer doped with liquid metal droplets. An electrode connecting part is arranged in an electrode area of the strain sensing layer and is installed with a lead wire. The packaging layer covers the strain sensing layer. The present application can form a stable conductive path without additional sintering, and has simple manufacturing process and good tensile performance. Through a decoupling formula, the present application can realize accurate monitoring of the three-dimensional spatial movement state of human joints.

Disclosed are systems and techniques for proximity detection using a wearable sensing device. An example method can include obtaining sensing data based on one or more wireless signals, the sensing data comprising at least one of a proximity measurement and a distance measurement; determining, based on the sensing data, a spatial relationship between a device associated with a user and a source of the one or more wireless signals; determining whether the spatial relationship satisfies a proximity condition associated with a distance threshold; and based on a determination that the spatial relationship satisfies the proximity condition associated with the distance threshold, triggering a sensory alert via one or more output components.

This invention discloses a long-term posture monitoring and intelligent reminder system based on multi-segment fusion, comprising a wearable sensing module, a data processing and main control module, and a user terminal application module. The wearable sensing module collects motion and posture data of the head, neck, chest, pelvis, and lower limbs through inertial measurement units and flexible bending sensors deployed at multiple key parts of the user's body. The data processing and main control module executes a two-level process: first, it identifies the activity scene based on pelvic and thigh data; then, under a defined scene, it fuses multi-sensor data for specific posture analysis. Its integrated individualized threshold adaptive unit can dynamically update the judgment threshold based on the user's baseline and long-term monitoring data. The system adopts a duration-based low-intrusion reminder strategy, triggering an instruction only when poor posture continuously exceeds the threshold corresponding to the type and the number of reminders per unit time has not reached the upper limit. This invention achieves comprehensive, accurate, and personalized posture monitoring and intelligent reminders.

This invention discloses an adjustable universal shoe cover and exoskeleton foot pressure acquisition device, belonging to the field of wearable sensing technology. Addressing the problems of slow sensor response, susceptibility to interference, poor versatility, and easy damage in existing exoskeleton foot pressure acquisition systems, this invention employs an airbag-type pressure sensing principle, integrating a dual-area pressure detection unit into the hollow interlayer of the shoe sole. Universal shoe cover compatibility is achieved through a telescopic adjustment plate and tension strap. A signal processing module wirelessly transmits the acquired pressure data to a host computer. An independently installable acquisition device is also provided, compatible with various types of footwear. This invention offers high acquisition accuracy, good stability, and strong versatility, accurately capturing dynamic changes in foot pressure, significantly improving the accuracy of exoskeleton gait recognition and assistive coordination, and is suitable for various scenarios such as mechanical exoskeletons, rehabilitation training, and motion analysis.