[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Li, 2021 - Google Patents

[Retracted] Design and Implementation of Human Motion Recognition Information Processing System Based on LSTM Recurrent Neural Network Algorithm

Li, 2021

View PDF @Full View
Document ID
6092161554864296190
Author
Li X
Publication year
Publication venue
Computational Intelligence and Neuroscience

External Links

Snippet

With the comprehensive development of national fitness, men, women, young, and old in China have joined the ranks of fitness. In order to increase the understanding of human movement, many researches have designed a lot of software or hardware to realize the …
Continue reading at onlinelibrary.wiley.com (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30861Retrieval from the Internet, e.g. browsers
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50Computer-aided design
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
    • G06N3/02Computer systems based on biological models using neural network models
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6267Classification techniques
    • G06K9/6268Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computer systems utilising knowledge based models
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA 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
    • G06Q50/00Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA 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
    • G06Q30/00Commerce, e.g. shopping or e-commerce
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00Computer systems based on specific mathematical models
    • G06N7/005Probabilistic networks

Similar Documents

Publication Publication Date Title
Ajagekar et al. Quantum computing based hybrid deep learning for fault diagnosis in electrical power systems
Chen et al. A survey on an emerging area: Deep learning for smart city data
US20230394309A1 (en) Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series
Guo et al. Smartphone-based patients’ activity recognition by using a self-learning scheme for medical monitoring
Su et al. Online travel mode identification using smartphones with battery saving considerations
Zhao et al. Recognition of Transportation State by Smartphone Sensors Using Deep Bi‐LSTM Neural Network
Zhou et al. Improving human mobility identification with trajectory augmentation
Li [Retracted] Design and Implementation of Human Motion Recognition Information Processing System Based on LSTM Recurrent Neural Network Algorithm
Zhang et al. Smartphone sensors‐based human activity recognition using feature selection and deep decision fusion
CN114418189A (en) Water quality grade prediction method, system, terminal device and storage medium
Wang et al. Practical options for adopting recurrent neural network and its variants on remaining useful life prediction
Mase et al. Facial identity protection using deep learning technologies: An application in affective computing
Anastasiou et al. Deriving generalised stochastic Petri net performance models from high-precision location tracking data
Liu et al. Passenger flow anomaly detection in urban rail transit networks with graph convolution network–informer and Gaussian Bayes models
Yuan et al. An alternative reliability method to evaluate the regional traffic congestion from GPS data obtained from floating cars
Wei et al. Research on group behavior model based on neural network computing
Rodríguez-Rueda et al. Origin–destination matrix estimation and prediction from socioeconomic variables using automatic feature selection procedure-based machine learning model
CN116628345B (en) Content recommendation method and device, electronic equipment and storage medium
Wu et al. [Retracted] The Construction of Online Course Learning Model of Ideological and Political Education for College Students from the Perspective of Machine Learning
Tao et al. Attention-based convolutional neural network and bidirectional gated recurrent unit for human activity recognition
Liu et al. Missing data imputation and classification of small sample missing time series data based on gradient penalized adversarial multi-task learning
Solomon et al. Predicting application usage based on latent contextual information
Cho et al. An image generation approach for traffic density classification at large-scale road network
Zhang et al. Prediction of behavior and activity of patients through wearable devices based on deep learning
Li et al. [Retracted] Human Sports Action and Ideological and PoliticalEvaluation by Lightweight Deep Learning Model