Results 91 to 100 of about 829,089 (280)

Artificial Intelligence as the Next Visionary in Liquid Crystal Research

Advanced Functional Materials, EarlyView.
The functions of AI in the research laboratory are becoming increasingly sophisticated, allowing the entire process of hypothesis formulation, material design, synthesis, experimental design, and reiterative testing to be automated. In our work, we conceive how the incorporation of AI in the laboratory environment will transform the role and ...
Mert O. Astam, Ouassim L'Karkouri, Danqing Liu   +2 more
wiley   +1 more source

Labview-based FPGA implementation of sensor data acquisition for human body motion measurement [PDF]

, 2020
Measuring body motion is crucial to identify any abnormal neuromuscular control, biomechanical disorders and injury prevention in various applications such as rehabilitation [1], [2], sport science [3],[4], surveillance [5], and virtual reality [6].
Ahmad, Afandi, Ja’afar, Noor Huda, Mohd Nadzri, Muhammad Muzakkir, Muharam, Azlan, Tukiran, Zarina   +4 more
core  

Artifact‐Minimizing Ultrathin Transparent Electrodes Fabricated via iCVD for In Vivo Optogenetic Stimulation and Neural Signal Monitoring of Primary Visual Cortex

Advanced Functional Materials, EarlyView.
We present ultrathin flexible transparent electrodes through iCVD‐enabled molecular control of 10 nm gold films on poly(dimethylaminomethylstyrene). In vivo validation demonstrated photoelectric artifact reduction vs. opaque electrodes and preservation of natural neural dynamics.
Tae Jin Mun, Minju Kim, Chaesung Kim, Yunyoung Choi, In‐Yeop Baek, Younghak Cho, Gyeongyong Lee, Yerim Jang, Min‐Ho Nam, Wonryung Lee, Maesoon Im, Hyejeong Seong   +11 more
wiley   +1 more source

Using synthetic basis feature descriptor for motion estimation

International Journal of Advanced Robotic Systems, 2018
Development of advanced driver assistance systems has become an important focus for automotive industry in recent years. Within this field, many computer vision–related functions require motion estimation.
Dong Zhang, Alok Desai, Dah-Jye Lee
doaj   +1 more source

Meniscus Pixel Printing for Contact‐Lens Vision Sensing and Robotic Control

Advanced Functional Materials, EarlyView.
A visual‐sensing contact lens is enabled by meniscus pixel printing (MPP), which rapidly patterns a 200 µm perovskite photodetector pixel in 1 s without masks, vacuum processing, or bulky equipment. A deep‐learning‐based super‐resolution reconstructs sparse on‐lens signals into 80 × 80 high‐resolution visual information, while AI‐driven eye‐tracking ...
Byung‐Hoon Gong, Dohyean Kim, Jiyun Jeong, Taekyeong Kim, Soon‐sung Kwon, Junyoung Seo, Il Jeon, Im Doo Jung   +7 more
wiley   +1 more source

MLUG: Bootstrapping Language-Motion Pre-Training for Unified Motion-Language Understanding and Generation

Sensors
In the realm of computer vision and animation, the generation of human motion from textual descriptions represents a frontier of significant challenge and potential.
Hongliang Luo, Wei Xi, Daniel Tang
doaj   +1 more source

Spatiotemporal processing in crossmodal interactions for perception of the external world: A review

Frontiers in Integrative Neuroscience, 2015
Research regarding crossmodal interactions has garnered much interest in the last few decades. A variety of studies have demonstrated that multisensory information (vision, audition, tactile sensation, and so on) can perceptually interact with each other
Souta eHidaka, Wataru eTeramoto, Yoichi eSugita   +2 more
doaj   +1 more source

Bio‐Inspired Multimodal Hardware Front‐End Enabled by 2D Floating‐Gate Memory for UAV Perception

Advanced Functional Materials, EarlyView.
A MoS2/h‐BN /graphene floating‐gate memory underpins a bio‐inspired multimodal front end that integrates visual, inertial, and airflow cues. A 4 × 4 FG memory array encodes temporal intensity differences, while IMU‐ and airflow‐driven threshold modulation suppresses self‐motion artifacts, enabling fast, low‐power, robust autonomous UAV tracking and ...
Lianghao Guo, Yue Cheng, Cong Li, Xiaoyu Guo, Jiankai Yin, Dadong Fan, Zhenyu Xu, Chenyu Tang, Arokia Nathan, Shuo Gao, Li Tao, Luigi G. Occhipinti   +11 more
wiley   +1 more source

Relative Importance of Binocular Disparity and Motion Parallax for Depth Estimation: A Computer Vision Approach

Remote Sensing, 2019
Binocular disparity and motion parallax are the most important cues for depth estimation in human and computer vision. Here, we present an experimental study to evaluate the accuracy of these two cues in depth estimation to stationary objects in a static
Mostafa Mansour, Pavel Davidson, Oleg Stepanov, Robert Piché   +3 more
doaj   +1 more source

Optoelectronic Control of Redox Dynamics in POM Memristors for Noise‐Resilient Speech and Hardware‐Level Motion Recognition

Advanced Functional Materials, EarlyView.
Optoelectronic control of redox‐active polyoxometalate clusters in polymer matrices yields hybrid memristors with switchable volatile and non‐volatile modes, enabling reservoir‐type in‐sensor optical preprocessing and stable multilevel synapses for multimodal neuromorphic computing, including noise‐tolerant audiovisual keyword recognition and hardware ...
Xiangyu Ma, Ziyu Lv, Guohua Zhang, Zhongyue Xu, Yongbiao Zhai, Haiming Huang, Qiyan Zhang, Xiaojin Zhao, Yan Wang, Ye Zhou, Ziyu Xiong, Guanglong Ding, Wentao Xu, Su‐Ting Han   +13 more
wiley   +1 more source