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 inform...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.展开更多
The micro touch sensor which is designed to be used in the blood vessels isproposed. Using this touch sensor, the risk of injuring blood vessels can be reduced. A prototype ofmicro touch sensor using PZT (lead zircona...The micro touch sensor which is designed to be used in the blood vessels isproposed. Using this touch sensor, the risk of injuring blood vessels can be reduced. A prototype ofmicro touch sensor using PZT (lead zirconate titanate) thin film synthesized by hydrothermal methodis made. The basic properties of the micro touch sensor are studied. In order to analyse theproperties of the micro touch sensor, a mathematical model is set up.展开更多
Human–machine interactions using deep-learning methods are important in the research of virtual reality,augmented reality,and metaverse.Such research remains challenging as current interactive sensing interfaces for ...Human–machine interactions using deep-learning methods are important in the research of virtual reality,augmented reality,and metaverse.Such research remains challenging as current interactive sensing interfaces for single-point or multipoint touch input are trapped by massive crossover electrodes,signal crosstalk,propagation delay,and demanding configuration requirements.Here,an all-inone multipoint touch sensor(AIOM touch sensor)with only two electrodes is reported.The AIOM touch sensor is efficiently constructed by gradient resistance elements,which can highly adapt to diverse application-dependent configurations.Combined with deep learning method,the AIOM touch sensor can be utilized to recognize,learn,and memorize human–machine interactions.A biometric verification system is built based on the AIOM touch sensor,which achieves a high identification accuracy of over 98%and offers a promising hybrid cyber security against password leaking.Diversiform human–machine interactions,including freely playing piano music and programmatically controlling a drone,demonstrate the high stability,rapid response time,and excellent spatiotemporally dynamic resolution of the AIOM touch sensor,which will promote significant development of interactive sensing interfaces between fingertips and virtual objects.展开更多
A compact acquisition system developed for a flexible large area monoport tactile surface is presented in this paper. This sensor requires a single port connection and avoids complicated matrix acquisition system and ...A compact acquisition system developed for a flexible large area monoport tactile surface is presented in this paper. This sensor requires a single port connection and avoids complicated matrix acquisition system and multiplexing. The tactile surface is based on a coplanar transmission line printed on a large area flexible substrate. Touching the waveguide generates a reflected signal. A harmonic analysis of this reflected signal at the line input port allows locating the touch event. A compact and low complexity acquisition system has been developed in order to demonstrate the principle and evaluate the feasibility of its integration on the sensor. Theoretical background, design and measurements on the overall sensor are exposed. The acquisition circuit imperfections have been demonstrated experimentally and correction methods have been proposed and implemented. Results are presented, and to assess the precision of the compact acquisition system, they are compared to reference measurements made with a Vector Network Analyzer.展开更多
Recently developed time-of-flight principle based depth-sensing video camera technologies provide precise per-pixel range data in addition to color video. Such cameras will find application in robotics and vision-base...Recently developed time-of-flight principle based depth-sensing video camera technologies provide precise per-pixel range data in addition to color video. Such cameras will find application in robotics and vision-based human computer interaction scenarios such as games and gesture input systems. Time-of-flight principle range cameras are becoming more and more available. They promise to make the 3D reconstruction of scenes easier, avoiding the practical issues resulting from 3D imaging techniques based on triangulation or disparity estimation. A spatial touch system was presented which uses a depth-sensing camera to touch spatial objects and details on its implementation, and how this technology will enable new spatial interactions was speculated.展开更多
基金supported by the National Research Foundation of Korea(NRF)(No.2021R1C1C2009703)the Gachon University Research Fund of 2022(GCU-202300890001).
文摘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.
基金This project is supported by National Natural Science Foundation of China (No.90207003) Scientific Research Foundation of Ministry of Education and Dalian City for the Returned Overseas Chinese Scholars, China.
文摘The micro touch sensor which is designed to be used in the blood vessels isproposed. Using this touch sensor, the risk of injuring blood vessels can be reduced. A prototype ofmicro touch sensor using PZT (lead zirconate titanate) thin film synthesized by hydrothermal methodis made. The basic properties of the micro touch sensor are studied. In order to analyse theproperties of the micro touch sensor, a mathematical model is set up.
基金supported by National Natural Science Foundation of China under Grants (U1805261 and 22161142024)A~*STAR SERC AME Programmatic Fund (A18A7b0058)
文摘Human–machine interactions using deep-learning methods are important in the research of virtual reality,augmented reality,and metaverse.Such research remains challenging as current interactive sensing interfaces for single-point or multipoint touch input are trapped by massive crossover electrodes,signal crosstalk,propagation delay,and demanding configuration requirements.Here,an all-inone multipoint touch sensor(AIOM touch sensor)with only two electrodes is reported.The AIOM touch sensor is efficiently constructed by gradient resistance elements,which can highly adapt to diverse application-dependent configurations.Combined with deep learning method,the AIOM touch sensor can be utilized to recognize,learn,and memorize human–machine interactions.A biometric verification system is built based on the AIOM touch sensor,which achieves a high identification accuracy of over 98%and offers a promising hybrid cyber security against password leaking.Diversiform human–machine interactions,including freely playing piano music and programmatically controlling a drone,demonstrate the high stability,rapid response time,and excellent spatiotemporally dynamic resolution of the AIOM touch sensor,which will promote significant development of interactive sensing interfaces between fingertips and virtual objects.
文摘A compact acquisition system developed for a flexible large area monoport tactile surface is presented in this paper. This sensor requires a single port connection and avoids complicated matrix acquisition system and multiplexing. The tactile surface is based on a coplanar transmission line printed on a large area flexible substrate. Touching the waveguide generates a reflected signal. A harmonic analysis of this reflected signal at the line input port allows locating the touch event. A compact and low complexity acquisition system has been developed in order to demonstrate the principle and evaluate the feasibility of its integration on the sensor. Theoretical background, design and measurements on the overall sensor are exposed. The acquisition circuit imperfections have been demonstrated experimentally and correction methods have been proposed and implemented. Results are presented, and to assess the precision of the compact acquisition system, they are compared to reference measurements made with a Vector Network Analyzer.
基金supported by Ministry of Knowl-edge Economy(MKE), Korea as a project,"The nextgeneration core technology for Intelligent Informationand electronics"
文摘Recently developed time-of-flight principle based depth-sensing video camera technologies provide precise per-pixel range data in addition to color video. Such cameras will find application in robotics and vision-based human computer interaction scenarios such as games and gesture input systems. Time-of-flight principle range cameras are becoming more and more available. They promise to make the 3D reconstruction of scenes easier, avoiding the practical issues resulting from 3D imaging techniques based on triangulation or disparity estimation. A spatial touch system was presented which uses a depth-sensing camera to touch spatial objects and details on its implementation, and how this technology will enable new spatial interactions was speculated.
