Artificial Intelligence and Sensor-Based Gait Recognition
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: 15 August 2024 | Viewed by 66
Special Issue Editor
Interests: biomechanics; gait; postural control; wearable sensors; falls
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We seek to explore the cutting-edge intersection of advanced sensor technologies and artificial intelligence (AI) methodologies. This Special Issue aims to provide a comprehensive platform for researchers to present their latest findings and innovations in the field of artificial intelligence and sensor usage for gait recognition. We invite original research papers that address a spectrum of challenges, including sensor design, data collection, feature extraction, and the development of novel AI algorithms capable of analyzing and interpreting complex gait data. The sensors include both wearable and non-wearable sensors. Feature extraction, pertaining to the nonlinear analysis of gait dynamics and the association of machine learning algorithms for gait recognition, can be performed. Submissions are encouraged to demonstrate significant advances in the accuracy, efficiency, and robustness of gait recognition systems. Papers that present new datasets, innovative applications, or insightful reviews of current challenges and future directions in this domain are also welcome. Through this Special Issue, we aim to foster a multidisciplinary dialogue and pave the way for breakthroughs in gait recognition technologies, with potential applications in areas such as security, healthcare, and smart environments.
Dr. Rahul Soangra
Guest Editor
Manuscript Submission Information
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Keywords
- artificial intelligence
- sensors
- gait Recognition
