Topical Advisory Panel Members' Collection Series: Sensors for Gait Monitoring
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".
Deadline for manuscript submissions: closed (20 February 2024) | Viewed by 7024
Special Issue Editors
Interests: fall-risk reduction; balance disorders; gait abnormalities; biomechanical evaluation of movement performance
Interests: gait analysis; motion analysis; measurement systems; rehabilitation; motor control; clinical assessment
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Sensors used to assess and monitor gait are important tools for detecting changes in an individual’s mobility and balance. They can be used to identify normal gait patterns, detect changes in gait patterns, assess the risk of falls and the effectiveness of interventions, and monitor progress over time. Gait monitoring can also help to identify underlying medical conditions that may be contributing to deteriorating mobility. It can provide valuable insight into an individual’s physical and mental health, as well as help to reduce the risk of injury and improve quality of life. The following sensors are extensively used to analyze human gait:
- Inertial measurement units (IMUs): IMUs are small, low-cost, and wearable devices that measure linear and angular motion. They typically contain three-dimensional accelerometers, three-dimensional gyroscopes, and sometimes, a three-dimensional magnetometer. This data can be used to derive some gait parameters such as stride length, step frequency, and step angle.
- Force and pressure sensors: Pressure sensors are placed on the floor or inside the shoe and measure the pressure distribution under the foot, strike patterns, or pathway of the center of pressure in the stance. When the sensors form a sensitive matrix on which the person ambulates, then these data can be used to measure more gait parameters such as step length and step width, and can be used to dynamically analyze the global center of pressure.
- Motion capture systems: Motion analysis systems use video cameras to capture the motion of the body. As they have mostly been based on the use of reflective markers in the past, the recent development of markerless systems that are now based on artificial intelligence is a promising way to obtain 3D joint motion information, even if some validation is still required.
This Special Issue of Sensors aims to highlight advances in sensors and development of sensing methodologies, techniques, and algorithms that are used to investigate/monitor normal or pathological human gait. Experimental and theoretical results, in as much detail as possible, are very welcome. Review papers are also welcome. There is no restriction on the length of the papers.
Topics include, but are not limited to, the following:
- Wearable sensor-based gait monitoring;
- Machine learning-based gait monitoring;
- Artificial intelligence-based gait monitoring;
- Image-based gait monitoring;
- Gait biometrics;
- Real-time gait monitoring;
- Smartphone-based gait monitoring;
- Rehabilitation robotics for gait monitoring;
- Ambulatory gait monitoring.
We look forward to receiving your submission for the new Special Issue.
Dr. Vennila Krishnan
Dr. Arnaud Gouelle
Guest Editors
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