Publications by authors named "Adamu Muhammad Buhari"
Article Synopsis
- Several studies have focused on improving the accuracy of micro-expression recognition but often overlook the computational complexity, which makes real-time application costly.
- The paper introduces a new feature extraction technique using 68-point landmarks guided by the Facial Action Coding System (FACS), allowing for the analysis of micro-expressions from a single input frame instead of requiring multiple frames.
- The results show that this new approach achieves a recognition accuracy of up to 87.33% and processes each sample in just 2 milliseconds on a Xeon Processor E5-2650.
Conventional wireless sensor networks (WSNs) in smart home-building (SHB) are typically driven by batteries, limiting their lifespan and the maximum number of deployable units. To satisfy the energy demand for the next generation of SHB which can interconnect WSNs to make the internet of smart home-building (IoSHB), this study introduces the design and implementation of a 250 mW to 2.3 W energy harvesting device.
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