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Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Affective Computing Approaches in Child-Robot Interaction: A Systematic Review and Taxonomy. [PDF]

Sensors (Basel)
Cano S, Vásconez JP, Villarroel K, Geraldo JC, Albiol-Pérez S.   +4 more
europepmc   +1 more source

Study on Auxiliary Rehabilitation System of Hand Function Based on Machine Learning with Visual Sensors. [PDF]

Sensors (Basel)
Zhang Y, Bao G.
europepmc   +1 more source

Triboelectric Wearable Sensors for Human-Centric Smart Electronics: From Self-Powered Sensing to Artificial Intelligence-Assisted Human-Machine Interface Systems. [PDF]

Nanomicro Lett
Ra Y, Cho S, Guo X, Choi D, Lee C.
europepmc   +1 more source

A Flexible Wearable Data Glove Based on Hybrid Fiber-Optic Sensing for Hand Motion Monitoring. [PDF]

Materials (Basel)
Li J, Hou X, Du K, Piao H, Li C.
europepmc   +1 more source

HAND GESTURE BASED BOMB DETECTION VEHICLE

International Journal of Advance Engineering and Research Development, 2017
openaire   +1 more source

Artificial intelligence for monitoring hand hygiene compliance in healthcare settings: A scoping review. [PDF]

PLoS One
Lin X, Lv Y, Xiang Q, Cai M, Wang P.
europepmc   +1 more source

A Deep Learning-Based EIT System for Robust Gesture Recognition Under Confounding Factors. [PDF]

Biosensors (Basel)
Wu H, Huang G, Wang W, Wen Y.
europepmc   +1 more source

GESTURE-DETECT: A DEEP LEARNING FRAMEWORK USING CONVOLUTION NEURAL NETWORK FOR HAND GESTURE

openaire   +3 more sources

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Hand gesture detection and extraction

2013 IEEE China Summit and International Conference on Signal and Information Processing, 2013
A novel algorithm for detecting and extracting hand gestures is proposed which uses an on-line adaptive learning approach to fit the hand skin color distribution of each individual user in various environments. The on-line adaptive skin-color learning approach is designed by two strategies: negative skin-color exclusion and dynamic skin-color standard ...
Yea-Shuan Huang, Yu-Chung Chen, Fang-Hsuan Cheng   +2 more
openaire   +1 more source