Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 197
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1075
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3195
Function: GetPubMedArticleOutput_2016
File: /var/www/html/application/controllers/Detail.php
Line: 597
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 511
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 317
Function: require_once
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The metaverse progressively demands heightened sophistication in human-multi-machine collaboration, accelerating development of hybrid immersive 2D tactile and 3D spatial perception interfaces. However, current interfaces struggle with the precision and adaptability in complex human-multi-machine interaction scenarios. This paper presents a transparent stretchable sensing interface synergizing 2D tactile and 3D spatial perception through body-coupled electromagnetic coupling. Its bi-modal coupling (resistive coupling and capacitive coupling) mechanism enables micrometer-scale 2D tactile sensing alongside broad 3D spatial perception (200 mm range). The contact mode achieves calligraphy-grade trajectory reconstruction (200 µm precision) with force tactile sensing, while the non-contact mode recognizes 38 gestures at 97.11% accuracy. The interface's mechanical transparency and elasticity permit seamless integration on curved surfaces (e.g., gloves and clothes) without perceptual interference. An object-oriented human-machine interaction (HMI) framework is developed to enable single-interface control of multiple devices through electromagnetic signature recognition, enhancing collaborative efficiency. This work can inspire designs of smart interfaces in intelligent healthcare monitoring, industrial robotics coordination, and cross-domain augmented reality applications.
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Source |
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http://dx.doi.org/10.1002/adma.202507067 | DOI Listing |