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A Gesture Classification SoC for Rehabilitation With ADC-Less Mixed-Signal Feature Extraction and Training Capable Neural Network Classifier

Autor: Yijie Wei, Kofi Otseidu, Jie Gu, Levi J. Hargrove, Qiankai Cao

Publikováno v: IEEE Journal of Solid-State Circuits. 56:876-886

This article presents a fully integrated gesture and gait classification system-on-chip (SoC) for rehabilitation application. In order to reduce the power consumption and area cost on the analog front end, special analog-to-digital converter (ADC)-le

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::88fbdadbce2cf20b605709726a296265
https://doi.org/10.1109/jssc.2020.3041288

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A Sparse Convolution Neural Network Accelerator for 3D/4D Point-Cloud Image Recognition on Low Power Mobile Device with Hopping-Index Rule Book for Efficient Coordinate Management

Autor: Qiankai Cao, Jie Gu

Publikováno v: 2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::904df2a8bd85d2f01b367b7d921ce5a8
https://doi.org/10.1109/vlsitechnologyandcir46769.2022.9830178

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A Wearable Bio-signal Processing System with Ultra-low-power SoC and Collaborative Neural Network Classifier for Low Dimensional Data Communication

Autor: Yijie Wei, Qiankai Cao, Levi J. Hargrove, Jie Gu

Publikováno v: EMBC

In this paper, a real time physiological signal classification system with an integrated ultra-low power collaborative neural network classifier is presented. The developed system includes a specially designed system-on-chip (SoC) and a wireless comm

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::194f03538936028fdc0d7174c2a128fb
https://pubmed.ncbi.nlm.nih.gov/33018877

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A Mixed-Signal Time-Domain Generative Adversarial Network Accelerator with Efficient Subthreshold Time Multiplier and Mixed-Signal On-Chip Training for Low Power Edge Devices

Autor: Sihua Fu, Jie Gu, Zhengyu Chen, Qiankai Cao

Publikováno v: VLSI Circuits

This work presents a low-cost mixed-signal time-domain accelerator for generative adversarial network (GAN). A significant reduction in hardware cost was achieved through delicate architecture optimization for 8-bit GAN training on edge devices. An a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e68dcd191b798faea75784ef36ef75fa
https://doi.org/10.1109/vlsicircuits18222.2020.9162829

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A Fully-integrated Gesture and Gait Processing SoC for Rehabilitation with ADC-less Mixed-signal Feature Extraction and Deep Neural Network for Classification and Online Training

Autor: Levi J. Hargrove, Jie Gu, Yijie Wei, Qiankai Cao, Kofi Otseidu

Publikováno v: CICC

An ultra-low-power gesture and gait classification SoC is presented for rehabilitation application featuring (1) mixed-signal feature extraction and integrated low-noise amplifier eliminating expensive ADC and digital feature extraction, (2) an integ

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d70a8193d5c8c5254fede7bf32887632
https://doi.org/10.1109/cicc48029.2020.9075910

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Analysis of Vessel Behaviors in Costal Waterways Using Big AIS Data

Autor: Qiankai Cao, Xiang Li, Guolei Tang

Publikováno v: 2019 IEEE 4th International Conference on Cloud Computing and Big Data Analysis (ICCCBDA).

Enhancing traffic safety and obtaining vessel messages in complicated and varied marine environment has become the focus of attention. Therefore, Automatic Identification System (AIS) is utilized to get the vessel behaviors. In this article, we devel

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c59c5cee09a29bcac134525bd618472a
https://doi.org/10.1109/icccbda.2019.8725712

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An Agent-Based Simulation Model for Operations in an Automatic Container Terminal with DTQC/AGV/ARMG

Autor: Ningning Li, Guolei Tang, Qiankai Cao

Publikováno v: ICCMS

Double trolley quayside container cranes (DTQCs), automatic guided vehicles (AGVs) and automatic rail mounted gantry cranes (ARMGs) are widely used in automatic container terminals (ACTs) in China. To support the design and management of ACTs, we pro

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a6aabe48ef3e672c2abdf838c0cb38aa
https://doi.org/10.1145/3307363.3307374

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