In-sensor Computing ANN Capacitive Sensors
Reviewed by Pithpith:GY6JPWDDopen to challenge →
classification
eess.SP
keywords
capacitivecircuitcomputingin-sensorsensorsartificialautoencoderscapacitance
read the original abstract
This letter proposes an in-sensor computing multiply-and-accumulate (MAC) circuit based on capacitance. The MAC circuits can constitute an artificial neural network(ANN) layer and be operated as ANN classifiers and autoencoders. The proposed circuit is a promising scheme for capacitive ANN image sensors, showing competitively high efficiency and lower power.
This paper has not been read by Pith yet.
Forward citations
Cited by 1 Pith paper
-
Design and Characteristics of a Thin-Film ThermoMesh for the Efficient Embedded Sensing of a Spatio-Temporally Sparse Heat Source
ThermoMesh uses thermoelectric junctions and nonlinear interlayers to achieve up to 14,500x higher minimum sensitivity and 98% localization accuracy for single heat sources in numerical simulations on synthetic data.
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.