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In traditional touch interfaces, electrodes will block the light intensity of the display, so extra power is required to maintain the display performance. In this article, an eight‐electrode electrical impedance tomography system for touch location detection is proposed to improve the transmittance. The electrodes are settled at the edge of the touch panel and a machine learning algorithm is used to perform the regression process. This system can achieve almost 1 mm mean absolute error in X‐ and Y‐directions on a 30 × 30 mm2 2D surface and guarantee nearly 94% light transmittance. The results from experiments show the feasibility of the new structure for high optical transmittance interactive display in the future. [ABSTRACT FROM AUTHOR]

Among diverse wearable techniques, insole‐based plantar pressure monitoring systems have surged as a leading technology to monitor patient's chronic disease progression. Such technological feat has been made possible due to the strong correlation between gait and disease status. Hence, insole‐based plantar pressure monitoring techniques are growing rapidly worldwide; with several research institutions and enterprises showing an increased interest in the field. This review intends to first explain the working principles of mainstream insole plantar sensing techniques and design considerations such as sensing material selection and electronics design requirements, and then the state‐of‐the‐art algorithms for plantar pressure distribution reconstruction. Following, this article will discuss disease monitoring applications and the extraction of disease features. Finally, insight regarding common challenges and their potential solutions within the field would be elucidated. [ABSTRACT FROM AUTHOR]