Highly Reliable 3D Channel Memory and Its Application in a Neuromorphic Sensory System for Hand Gesture Recognition

Kim, Dohyung; Lee, Cheong Beom; Park, Kyu Kwan; Bang, Hyeonsu; Truong, Phuoc Loc; Lee, Jongmin; Jeong, Bum Ho; Kim, Hakjun; Won, Sang Min; Kim, Do Hwan; Lee, Daeho; Ko, Jong Hwan; Baac, Hyoung Won; Kim, Kyeounghak; Park, Hui Joon

doi:10.1021/acsnano.3c05493

Cited by 7 publications

(2 citation statements)

References 95 publications

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“…Furthermore, in practical applications of tactile sensors in the field of AIoT, the processing flow of output signals is complicated, time-consuming, and inefficient . The combination with the optimized machine learning model based on the neuromorphic computing method could shorten the signal processing time and improve the recognition accuracy, which is expected to be deeply integrated with HMI. − Synaptic transistors based on 2D materials feature short ion transport distance, excellent electron transport dynamics, and high mobility, playing as an important role of neuromorphic computing. − The working mechanism is coupling of ion migration and electron–hole pairs generation. , …”

Section: Introductionmentioning

confidence: 99%

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Neuromorphic Computing-Assisted Triboelectric Capacitive-Coupled Tactile Sensor Array for Wireless Mixed Reality Interaction

Xie,

Wang,

Zhao

et al. 2024

ACS Nano

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Section: Introductionmentioning

confidence: 99%

“… 20 − 22 Synaptic transistors based on 2D materials feature short ion transport distance, excellent electron transport dynamics, and high mobility, playing as an important role of neuromorphic computing. 23 − 25 The working mechanism is coupling of ion migration and electron–hole pairs generation. 26 , 27 …”

Section: Introductionmentioning

confidence: 99%

Neuromorphic Computing-Assisted Triboelectric Capacitive-Coupled Tactile Sensor Array for Wireless Mixed Reality Interaction

Xie,

Wang,

Zhao

et al. 2024

ACS Nano

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Flexible Zn‐TCPP Nanosheet‐Based Memristor for Ultralow‐Power Biomimetic Sensing System and High‐Precision Gesture Recognition

Wang,

Su,

Ouyang

et al. 2024

Adv Funct Materials

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The flexible biomimetic sensory system inspired by biology exhibits learning, memory, and cognitive behavior toward external stimuli, providing a promising direction for the future development of the artificial intelligence industry. In this work, a Zn‐TCPP (TCPP: tetrakis (4‐carboxyphenyl) porphyrin) based flexible memristor with ultra‐low both operating voltage (≈80 mV) and power consumption (0.39 nW) that simulates typical synaptic plasticities, under continuously adjustable ultra‐low voltage pulses (50 mV). The synaptic properties are well maintained even when bending 1000 times at a radius of 5 mm. Furthermore, the flexible bionic sensing system integrated with Zn‐TCPP based memristor and cotton fibre piezoresistive sensor can remember pressure and deformation current, thus simulate the learning‐forgetting‐relearning characteristics under mechanical stimuli (power supply = 100 mV). Especially, the system achieves a high recognition rate of 97% for gestures through self‐built datasets and neural network calculations and remains at a high level under the influence of 10% Gaussian noise (80%) and 5 mm bending state (91%). Consequently, the ultralow‐power flexible biomimetic sensing system shows great potential in the field of integrated artificial intelligence with multiple modules, paving the way for the development of low‐power biomimetic robots in the future.

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A Review on Soft Ionic Touch Point Sensors

Lee,

et al. 2024

Energy & Environ Materials

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A touch sensor is an essential component in meeting the growing demand for human‐machine interfaces. These sensors have been developed in wearable, attachable, and even implantable forms to acquire a wide range of information from humans. To be applied to the human body, sensors are required to be biocompatible and not restrict the natural movement of the body. Ionic materials are a promising candidate for soft touch sensors due to their outstanding properties, which include high stretchability, transparency, ionic conductivity, and biocompatibility. Here, this review discusses the unique features of soft ionic touch point sensors, focusing on the ionic material and its key role in the sensor. The touch sensing mechanisms include piezocapacitive, piezoresistive, surface capacitive, piezoelectric, and triboelectric and triboresistive sensing. This review analyzes the implementation hurdles and future research directions of the soft ionic touch sensors for their transformative potential.

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Highly Reliable 3D Channel Memory and Its Application in a Neuromorphic Sensory System for Hand Gesture Recognition

Cited by 7 publications

References 95 publications

Neuromorphic Computing-Assisted Triboelectric Capacitive-Coupled Tactile Sensor Array for Wireless Mixed Reality Interaction

Neuromorphic Computing-Assisted Triboelectric Capacitive-Coupled Tactile Sensor Array for Wireless Mixed Reality Interaction

Flexible Zn‐TCPP Nanosheet‐Based Memristor for Ultralow‐Power Biomimetic Sensing System and High‐Precision Gesture Recognition

A Review on Soft Ionic Touch Point Sensors

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