Touch control intention recognition is an important direction for the future development of human-machine interactions (HMIs). However, implementation parallel-sensing functional modules generally requires a combination different logical blocks and circuits, which results in regional redundancy, redundant data, low efficiency. Here, location-and-pressure intelligent tactile sensor (LPI sensor) unprecedentedly combined with sensing, computing, logic proposed, enabling efficient...

Abstract High‐precise, crosstalk‐free tactile perception offers an intuitive way for informative human‐machine interactions. However, the differentiation and labeling of touch position strength require substantial computational space due to cumbersome post‐processing parallel data. Herein, a programmable robust electronic skin (PR e‐skin) with event‐driven in‐sensor differential perception, solving inherent defects in von Neumann framework is introduced. The PR e‐skin realizes feature...

Abstract Osteoarthritis (OA) is a common orthopedic condition, and traditional treatment methods often fail to regenerate cartilage effectively. Oxytocin (OXT) neuropeptide that plays crucial role in the skeletal system. Hyaluronic acid (HAMA) hydrogel has emerged as key carrier for repair due its excellent biocompatibility biodegradability. Combining OXT with HAMA implanting it at site of defects can effectively promote regeneration. Cartilage damage results an altered microenvironment,...

With the widespread application of biometric, unprotected biometric data is still at risk serious security and privacy breaches. When large amounts leak, cancelable become a powerfully remedial measure. In this paper, we propose new method to generate stable face templates based on multiple partial Walsh transformations (MPWT) Simhash. Firstly, matrices generated with random external parameters perform projection transformation original real-valued features, ensuring irreversibility...

Cancelable biometrics is a powerful remedy for information leakage caused by the extensive usage of unprotected biometric data. Current measures usually suffer from deteriorated accuracy, which known as security–performance tradeoff. Motivated these concerns, in this article, novel cancelable fingerprint approach, i.e., Indexing-Min–Max (IMM) hashing, proposed to securely transform fixed-length feature vector discrete index hashed code. IMM hashing essentially established upon min–max hash...

Partial face recognition has been a problem of interest for more than decade. Most previous publications on partial assume intra spectral matching. Matching Short Wave Infrared (SWIR), Middle (MWIR) or Near (NIR) images to gallery color is much challenging task. The photometric properties in these four bands are highly distinct. Because the limited space - and also sufficient this biometric paper we present results cross matching applied periocular regions. Equipped with well developed...

Representing fingerprint templates in binary form can provide outstanding merits compared to the conventional minutiae-based recognition system. The existing fixed-length feature extraction methods either suffer from redundant magnitude or lack of template security. In this letter, we present a compact (128 bytes) and cancelable codes generation scheme which enables accurate efficient comparison as well high This representation is also available for advanced encryption schemes (e.g., fuzzy...

Cross-spectral image matching is a challenging research problem motivated by various applications, including surveillance, security, and identity management in general. An example of this includes cross-spectral active infrared (IR) or thermal IR face images against dataset visible light images. A summary recent developments the field recognition authors presented. In particular, it describes original form two variants local operator named composite multilobe descriptor (CMLD) for facial...

Matching partial heterogeneous face images to a gallery of visible is challenging research problem. This scenario motivated by number surveillance applications such as recognition subjects at night or in the presence environmental conditions. Standoff distances may range from meter hundred meters. Our latest experiments have shown that software recently developed our group can be adapted perform cross spectral matching images. The are encoded with Gabor Generalized Local Binary Patterns and...

Rotating radio transients (RRATs) are sporadically emitting pulsars detectable only through searches for single pulses. While over 100 RRATs have been detected, a small fraction (roughly 20\%) phase-connected timing solutions, which critical determining how they relate to other neutron star populations. Detecting more pulses in order achieve solutions is key understanding their physical nature. Astronomical signals collected by telescopes contain noise from many sources, making the detection...

Cross-spectral face verification between short-wave infrared (SWIR) and visible light (VIS) images poses a challenge, which is motivated by various real-world applications such as surveillance at night time or in harsh environments. This paper proposes hybrid solution that takes advantage of both traditional feature engineering modern deep learning techniques to overcome the issue limited imagery encountered SWIR band. Firstly, revisits theory measurement levels. Then, two new operators are...

Matching facial images across electromagnetic spectrum presents a challenging problem in the field of biometrics and identity management. An example this includes cross spectral matching active infrared (IR) face or thermal IR against dataset visible light images. This paper describes new operator named Composite Multi-Lobe Descriptor (CMLD) for feature extraction near-infrared (NIR) short-wave (SWIR) The is inspired by design ordinal measures. combines Gaussian-based multi-lobe kernel...

Matching infrared (IR) facial probes against a gallery of visible light faces remains challenge, especially when combined with cross-distance due to deteriorated quality the IR data. In this paper, we study scenario where are acquired at short standoff, while long-range To address issue imbalance between heterogeneous imagery, propose compensate it by upgrading lower-quality faces. Specifically, is realized through cascaded face enhancement that combines an existing denoising algorithm...

Matching facial images acquired in different electromagnetic spectral bands remains a challenge. An example of this type comparison is matching active or passive infrared (IR) against gallery visible face images. When combined with cross-distance, problem becomes even more challenging due to deteriorated quality the IR data. As an example, we consider scenario where light are at short standoff distance while long range To address difference image atmospheric and camera effects, typical...

In recent years, palmprint recognition has made great progress and many methods have been put forward. The extraction of robust orientation features finding efficient matching strategies are two key points for recognition. Traditional coding usually only use a dominant filter response to extract images while not taking into account the other useful responses. Without increasing number filers, this study presents modified Competitive Code more accurately, which makes relation between Besides,...

Small‐sized fingerprint sensors, due to the convenience of integration, are widely used in many applications, especially on smart phones. However, friction ridge information decreases with reduction collected area, resulting degraded recognition performance. Mosaicking impressions has been proved be effective boosting accuracy. Nonetheless, minutiae‐based mosaicking methods do not work well when there is no sufficient number minutiae overlapping area while existing minutia‐free robust...

Rotating radio transients (RRATs) are sporadically emitting pulsars which detected only through single pulse search. Detecting these pulses in RRATs observation with high detection accuracy is a challenge due to the background noise. It better conduct directly on raw time-frequency than de-dispersed data, because de-dispersion process takes very intensive computation. In this paper, we propose accomplish idea by treating two-dimensional (2D) data as images and develop curvelet based...

As a traditional Chinese medicine practice, acupuncture has long been shown to benefit pain and stress relief (especially for elderly people with chronical cases). Therefore, is an important effective alternative medical therapy disabled population living in areas of low healthcare coverage, which become more serious social problem as the ages rapidly. However, training acupuncturists quite expensive time consuming. With arrival era AI, how automate process treatment minimalize involvement...