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Accurate method to identify foot morphology would further contribute to understand foot mechanism. The aim of this study is to identify foot morphology feature between habitually barefoot and shod population with 3D technology of scan. Sixty subjects both 30 habitually barefoot and 30 habitually shod participated foot scanning test. A 3-dimension laser device was applied to execute foot scanning. The findings of this study showed that habitually barefoot group displayed the foot features of the large ball perimeters, large minimal distance between hallux and other toes and the smaller hallux angle than habitually shod group. To conclude, the significant differences of foot morphology between habitually barefoot and habitually shod was mainly in forefoot area, this morphological features would provide some sights for the exploration of barefoot locomotion.

As the architecture of choice for future artificial-intelligent systems, the ideas of in-memory-and in-sensor-computing paradigms based on nonvon-Neumann architecture possess broad application prospects such as neuromorphic and sensor-memory-processor fusion systems. At the same time, these promising applications put diversified and strict requirements on the device performances, such as fast response to external signals, robust data security, and 3D integration potential. In this work, Au@VO 2 IR photodetectors and Ti/Au/VO 2 /Ti/Au threshold switching selectors are constructed, where the VO 2 thin films are realized by magnetron sputtering and water-vapor assisted post-annealing. Fast IR response is achieved in Au@ VO 2 photodetectors through a surface plasmon resonance-assisted metalinsulator transition. Furthermore, electroforming-free, tunable threshold voltage, steep switching slope, and selectivity of more than two orders of magnitude are observed in Ti/Au/VO 2 /Ti/Au threshold switching selector. Combining the functionalities of photodetection and selector, a VO 2 -based optical convolution engine demonstrates accurate and secure image-processing capability. These VO 2 -based devices are demonstrated as promising candidates for novel non-volatile memory, neuromorphic computing and sensor-memory-processor fusion applications.

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