3D human gesture capturing and recognition by the IMMU-based data glove
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Summary
A novel data glove for gestures capturing and recognition based on inertial and magnetic measurement units (IMMUs), which are made up of three-axis gyroscopes,Three-axis accelerometers and three- axis magnetometers is presented.
- Type
- article
- Published
- 2018-02-14
- Cited by
- 108
- References
- 22
- OpenAlex
- https://openalex.org/W2748628104
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:32723523
Keywords
Gesture, Wired glove, Accelerometer, Computer science, Gesture recognition
References
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- Extreme learning machines: a survey
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- Domain Adaptation Extreme Learning Machines for Drift Compensation in E-Nose Systems
- A novel array of flex sensors for a goniometric glove
- Sensors for Gesture Recognition Systems
- RGB cams vs RGB-D sensors: Low cost motion capture technologies performances and limitations
- Data Glove Embedded with 6-DOF Inertial Sensors for Hand Rehabilitation
- Miniature Low-Power Inertial Sensors: Promising Technology for Implantable Motion Capture Systems
- The Sample Complexity of Pattern Classification with Neural Networks: The Size of the Weights is More Important than the Size of the Network
- Hand gesture recognition using low-budget data glove and cluster-trained probabilistic neural network
- Assessment of hand kinematics using inertial and magnetic sensors
- Preliminary evaluation of SensHand V1 in assessing motor skills performance in Parkinson disease
- Compensation of magnetic disturbances improves inertial and magnetic sensing of human body segment orientation
- MEMS Accelerometer Based Nonspecific-User Hand Gesture Recognition
- Optimization method based extreme learning machine for classification
Cited by
- The master adaptive impedance control and slave adaptive neural network control in underwater manipulator uncertainty teleoperation
- Vision-based Teleoperation of Shadow Dexterous Hand using End-to-End Deep Neural Network
- Recent Trends in HCI: A survey on Data Glove, LEAP Motion and Microsoft Kinect
- Sensor Analysis for a Modular Wearable Finger 3D Motion Tracking System
- An Automated Robot-Car Control System with Hand-Gestures and Mobile Application Using Arduino
- Single-Equipment with Multiple-Application for an Automated Robot-Car Control System
- Mobile terminal gesture recognition based on improved FAST corner detection
- A new IMMU-based data glove for hand motion capture with optimized sensor layout
- An Recognition–Verification Mechanism for Real-Time Chinese Sign Language Recognition Based on Multi-Information Fusion
- From State Estimation for Dogs to the Internet of Dogs
- Tracing the Motion of Finger Joints for Gesture Recognition via Sewing RGO-Coated Fibers Onto a Textile Glove
- Application of a Modular Wearable System to Track Workers’ Fingers Movement in Industrial Environments
- Development of a Wirelessly-Powered Wearable System for Finger Tracking
- Dynamic Gesture Recognition Using Inertial Sensors-based Data Gloves
- Robust hand pose estimation using visual sensor in IoT environment
- Machine-learning-based hand motion recognition system by measuring forearm deformation with a distance sensor array
- A Novel Human-3DTV Interaction System Based on Free Hand Gestures and a Touch-Based Virtual Interface
- Static and Dynamic Human Arm/Hand Gesture Capturing and Recognition via Multiinformation Fusion of Flexible Strain Sensors
- On the human evaluation of audio adversarial examples
- A Wearable and Wirelessly Powered System for Multiple Finger Tracking
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