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

Kinger et al., 2022 - Google Patents

Deep learning based yoga pose classification

Kinger et al., 2022

Document ID
3683915830729234579
Author
Kinger S
Desai A
Patil S
Sinalkar H
Deore N
Publication year
Publication venue
2022 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COM-IT-CON)

External Links

Snippet

Yoga's popularity is increasing daily. Doing Yoga regularly helps physically, mentally, and spiritually. Many people practice yoga without any formal training. However, practicing yoga incorrectly or even without proper supervision can lead to serious health problems such as …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
    • 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
    • G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • G06K9/00268—Feature extraction; Face representation
    • G06K9/00281—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/017—Gesture based interaction, e.g. based on a set of recognized hand gestures
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B19/00—Teaching not covered by other main groups of this subclass
    • G09B19/003—Repetitive work cycles; Sequence of movements
    • G09B19/0038—Sports
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
    • A63B24/0003—Analysing the course of a movement or motion sequences during an exercise or trainings sequence, e.g. swing for golf or tennis
    • A63B24/0006—Computerised comparison for qualitative assessment of motion sequences or the course of a movement
    • A63B2024/0012—Comparing movements or motion sequences with a registered reference
    • 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
    • G06K9/00362—Recognising human body or animal bodies, e.g. vehicle occupant, pedestrian; Recognising body parts, e.g. hand
    • G06K9/00369—Recognition of whole body, e.g. static pedestrian or occupant recognition
    • 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
    • G06K9/00335—Recognising movements or behaviour, e.g. recognition of gestures, dynamic facial expressions; Lip-reading
    • 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
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computer systems based on biological models
    • G06N3/02—Computer systems based on biological models using neural network models

Similar Documents

Publication Publication Date Title
US12076148B2 (en) Systems and methods for automated recognition of bodily expression of emotion
Thar et al. A proposal of yoga pose assessment method using pose detection for self-learning
CN108256433B (en) Motion attitude assessment method and system
Ar et al. A computerized recognition system for the home-based physiotherapy exercises using an RGBD camera
WO2021007581A1 (en) Interactive personal training system
Kinger et al. Deep learning based yoga pose classification
KR102320960B1 (en) Personalized home training behavior guidance and correction system
Nagalakshmi Vallabhaneni The analysis of the impact of yoga on healthcare and conventional strategies for human pose recognition
Parmar et al. Measuring the quality of exercises
JP6757010B1 (en) Motion evaluation device, motion evaluation method, motion evaluation system
US20240070854A1 (en) Tracking, analysing and assessment of huamn body movements using a subject-specific digital twin model of the human body
Tarek et al. Yoga Trainer for Beginners Via Machine Learning
TWI664550B (en) Golf player swing posture detection system
Palanimeera et al. Yoga posture recognition by learning spatial-temporal feature with deep learning techniques
Portaz et al. Exploring raw data transformations on inertial sensor data to model user expertise when learning psychomotor skills
Wessa et al. Can pose classification be used to teach Kickboxing?
Chen et al. Research on Table Tennis Swing Recognition Based on Lightweight OpenPose
Antico et al. A Virtual Assistant for Home Rehabilitation: the 2Vita-B Physical Project
Gamra et al. Yopose: Yoga posture recognition using deep pose estimation
Saini iSmartYog: A Real Time Yoga Pose Recognition and Correction Feedback Model Using Deep Learning for Smart Healthcare
Kumar et al. Yoga Asanas Pose Detection using Feature Level Fusion with Deep Learning-Based Model
Parekh et al. YogMaster: Detection and Correction of Yoga Postures Using Augmented Reality
KR102689063B1 (en) System and method for effectively providing analysis results on the user's exercise behavior in visual aspect to support decision-making related to exercise and medical services
Torres et al. Detection of proper form on upper limb strength training using extremely randomized trees for joint positions
Kashyap et al. Review of an Evolved DNN Architecture EfficientNet for Yoga Pose Detection Problem