[go: up one dir, main page]

Sharma et al., 2023 - Google Patents

Activities tracking by smartphone and smartwatch biometric sensors using fuzzy set theory

Sharma et al., 2023

Document ID
15701872611217740875
Author
Sharma P
Alshehri M
Sharma R
Publication year
Publication venue
Multimedia Tools and Applications

External Links

Snippet

A Real-time available platform for deployment and implementation of mobile motion-based biometric behavior is provided by smartphones and smartwatches, including sensors. Sensors and physical activity evaluation are quite limited for motion-based commercial …
Continue reading at link.springer.com (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/32—Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
    • G06F19/322—Management of patient personal data, e.g. patient records, conversion of records or privacy aspects
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30861—Retrieval from the Internet, e.g. browsers
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/22—Health care, e.g. hospitals; Social work
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce, e.g. shopping or e-commerce
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computer systems utilising knowledge based models
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00—Subject matter not provided for in other groups of this subclass

Similar Documents

Publication Publication Date Title
Casilari et al. A study on the application of convolutional neural networks to fall detection evaluated with multiple public datasets
Sousa Lima et al. Human activity recognition using inertial sensors in a smartphone: An overview
Khan et al. Applications of artificial intelligence and big data analytics in m‐health: A healthcare system perspective
Dobbins et al. Towards clustering of mobile and smartwatch accelerometer data for physical activity recognition
Khan et al. Exploratory data analysis of acceleration signals to select light-weight and accurate features for real-time activity recognition on smartphones
Sharma et al. Activities tracking by smartphone and smartwatch biometric sensors using fuzzy set theory
Incel et al. A review and taxonomy of activity recognition on mobile phones
Saeedi et al. Activity recognition using fusion of low-cost sensors on a smartphone for mobile navigation application
Qi et al. A survey of physical activity monitoring and assessment using internet of things technology
Lakoju et al. Unsupervised learning for product use activity recognition: An exploratory study of a “chatty device”
Bonfitto et al. Pattern recognition neural classifier for fall detection in rock climbing
Pandya et al. Comparative analysis of real-time fall detection using fuzzy logic web services and machine learning
Mohammed Hashim et al. Deep transfer learning based human activity recognition by transforming IMU data to image domain using novel activity image creation method
Alarfaj et al. Wearable sensors based on artificial intelligence models for human activity recognition
Mohsen et al. Mental Health Monitoring and Detection Based on Machine Learning and IoT Data
Baskett et al. Towards a system for body-area sensing and detection of alcohol craving and mood dysregulation
Awan et al. A dynamic approach to recognize activities in WSN
Yates et al. Readiness of smartphones for data collection and data mining with an example application in mental health
Dong et al. Classifier fusion method based emotion recognition for mobile phone users
Pilataxi Piltaxi et al. Human activity recognition using an accelerometer magnitude value
Tang et al. Human activity recognition with smart watch based on H-SVM
Salman et al. Daily routine monitoring using deep learning models
Mhalla et al. Wearable IoT Sensor Combining Deep Learning for Enhanced Human Activity Recognition in Indoor and Outdoor Settings
Hardjianto et al. A graph neural network model application in point cloud structure for prolonged sitting detection system based on smartphone sensor data
Gattulli et al. Human Activity Recognition Using Smartphone Sensors: Focusing on Fall Detection with the UNIBA Dataset