Wearable Device-Based Gait Recognition
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".
Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 10213
Special Issue Editors
Interests: wearable devices; rehabilitation (gait measurement and analysis); healthcare; biosignal monitoring; biometric authentication; intelligent soldier survivability; cardiovascular system; wearable sensors (IMU, PPG, ECG)
Interests: rehabilitation; wearable sensors; musculoskeletal disorders
Interests: stroke rehabilitation; robotic rehabilitation; gait; kinematic data analysis
Special Issue Information
Dear Colleagues,
Recently, in gait recognition using wearable sensors, various motion sensors are being worn or attached to various parts of the human body. These sensors include accelerometers, gyroscopes, magnetoresistive sensors, force sensors, strain gauges, inclinometers, goniometers, sensing fabrics and so on. They can measure various characteristics of human gait. Based on these sensors, a single type of sensor system or a combination of several types of sensors can also be used in a variety of applications. Wearable devices using these sensors allow researchers to easily collect gait biomechanical data, whether indoors or outdoors, due to many advantageous factors such as small size, ease of installation, lightweight, portability, effectiveness and low cost. By analyzing biomechanical data obtained from wearable sensors, kinematic and kinematic parameters of human movement can be determined, and musculoskeletal function can be quantitatively evaluated. With the development of sensor technology and gait data analysis technology, gait recognition using wearable sensors has become a widespread and useful tool for both clinical practice and biomechanical research. Using effective wearable sensors, gait analysis can be conveniently used for applications such as sports, rehabilitation and clinical diagnosis. This Special Issue entitled “Wearable device-based gait recognition” aims to highlight the most recent research regarding sensors and their applications in gait recognition and analysis.
Prof. Dr. Jongshill Lee
Prof. Park Jae Hyeon
Dr. Shin Joon-Ho
Prof. Dr. In Young Kim
Guest Editors
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Keywords
- Wearable sensors
- Wearable gait measurement
- Gait analysis and recognition
- Biomechanical movement
- Gait authentication and identification
- Gait rehabilitation
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