What are the different aspects of gait analysis via Gait energy image and video sensor?
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Gait analysis through Gait Energy Image (GEI) and video sensors offers a comprehensive approach to studying human movement. GEI, as proposed in one study , provides a condensed representation of gait cycles, simplifying recognition processes. Video sensors, as discussed in another paper , enable the accurate detection of gait events like heel strike and toe-off, crucial for computing gait parameters. Additionally, wearable devices and advanced sensor technologies, as highlighted in , allow for high-resolution motion data capture both in lab settings and real-world environments. This integration of GEI, video sensors, and wearable devices enhances gait analysis by providing detailed insights into gait abnormalities, aiding in clinical assessments, rehabilitation, and performance evaluation in various fields like sports and healthcare.
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| Gait Energy Image (GEI) in gait analysis offers efficient recognition with less storage and processing, outperforming template-based methods. Video sensors capture gait dynamics for comprehensive analysis. | |
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