Ryselis et al., 2020 - Google Patents
Multiple Kinect based system to monitor and analyze key performance indicators of physical trainingRyselis et al., 2020
View HTML- Document ID
- 15894142975510222906
- Author
- Ryselis K
- Petkus T
- Blažauskas T
- Maskeliūnas R
- Damaševičius R
- Publication year
- Publication venue
- Human-Centric Computing and Information Sciences
External Links
Snippet
Using a single Kinect device for human skeleton tracking and motion tracking lacks of reliability required in sports medicine and rehabilitation domains. Human joints reconstructed from non-standard poses such as squatting, sitting and lying are asymmetric …
- 210000002356 Skeleton 0 abstract description 38
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
- 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
- G06F19/3418—Telemedicine, e.g. remote diagnosis, remote control of instruments or remote monitoring of patient carried devices
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/1121—Determining geometric values, e.g. centre of rotation or angular range of movement
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/1116—Determining posture transitions
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
- A61B5/0004—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by the type of physiological signal transmitted
- A61B5/0013—Medical image data
-
- 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
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/45—For evaluating or diagnosing the musculoskeletal system or teeth
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Ryselis et al. | Multiple Kinect based system to monitor and analyze key performance indicators of physical training | |
Ma et al. | Validation of a Kinect V2 based rehabilitation game | |
US20200401224A1 (en) | Wearable joint tracking device with muscle activity and methods thereof | |
Motiian et al. | Automated extraction and validation of children’s gait parameters with the Kinect | |
Mortazavi et al. | Stability of Kinect for range of motion analysis in static stretching exercises | |
Reis et al. | Developing a system for post-stroke rehabilitation: an exergames approach | |
Takač et al. | Position and orientation tracking in a ubiquitous monitoring system for Parkinson disease patients with freezing of gait symptom | |
Rybarczyk et al. | Recognition of physiotherapeutic exercises through DTW and low-cost vision-based motion capture | |
Rybarczyk et al. | ePHoRt project: A web-based platform for home motor rehabilitation | |
Varshney et al. | RETRACTED ARTICLE: Rule-based multi-view human activity recognition system in real time using skeleton data from RGB-D sensor | |
Mishra et al. | Development and preliminary validation of an interactive remote physical therapy system | |
Tannous et al. | Feasibility study of a serious game based on Kinect system for functional rehabilitation of the lower limbs | |
Çubukçu et al. | Kinect-based integrated physiotherapy mentor application for shoulder damage | |
Hoda et al. | Cloud-based rehabilitation and recovery prediction system for stroke patients | |
Wang et al. | A webcam-based machine learning approach for three-dimensional range of motion evaluation | |
Ripic et al. | Prediction of gait kinetics using Markerless-driven musculoskeletal modeling | |
Guo et al. | Mobility impaired users respond differently than healthy users in virtual environments | |
Bae et al. | Concurrent validity and test reliability of the deep learning markerless motion capture system during the overhead squat | |
Abe et al. | Relationship Between the Results of Arm Swing Data From the OpenPose-Based Gait Analysis System and MDS-UPDRS Scores | |
Narváez et al. | Kushkalla: a web-based platform to improve functional movement rehabilitation | |
Khargonkar et al. | Virtepex: virtual remote tele-physical examination system | |
Stocco et al. | Augmented reality to enhance the clinical eye: The improvement of adl evaluation by mean of a sensors based observation | |
Barzyk et al. | AI‐smartphone markerless motion capturing of hip, knee, and ankle joint kinematics during countermovement jumps | |
Che | [Retracted] Optimization of Interactive Animation Capture System for Human Upper Limb Movement Based on XSENS Sensor | |
Klein et al. | Assessing the Reliability of AI-Based Angle Detection for Shoulder and Elbow Rehabilitation |