1|Background The innovation of triboelectric nanogenerators and their application in self‐powered sensors[1-3]provides a new strat-egy for sensor development.Such a development is becoming an important part of IoT as...1|Background The innovation of triboelectric nanogenerators and their application in self‐powered sensors[1-3]provides a new strat-egy for sensor development.Such a development is becoming an important part of IoT as a large number of sensors are needed to sense different things and communicate over net-works.Among the sensors,triboelectric nanogenerator(TENG)based sensors are attracting rising attention during the last 10 years.A unique feature of the TENG sensors is the self‐powering,which eliminates the need for batteries that are normally required of other types of sensors.In the early years of TENG sensors,researchers focused on the sensors'feasibility,flexibility,and sensitivity[4-7].Lately,TENG sensing systems[8,9]have been developed to obtain information from different places and times,which provides more data to be analyzed to describe a specific scenario.Moreover,the data could be communicated over a cloud.展开更多
基金supported by the Swedish Research Council,Stiftelsen Promobilia and the Knowledge Foundation of Sweden.
文摘1|Background The innovation of triboelectric nanogenerators and their application in self‐powered sensors[1-3]provides a new strat-egy for sensor development.Such a development is becoming an important part of IoT as a large number of sensors are needed to sense different things and communicate over net-works.Among the sensors,triboelectric nanogenerator(TENG)based sensors are attracting rising attention during the last 10 years.A unique feature of the TENG sensors is the self‐powering,which eliminates the need for batteries that are normally required of other types of sensors.In the early years of TENG sensors,researchers focused on the sensors'feasibility,flexibility,and sensitivity[4-7].Lately,TENG sensing systems[8,9]have been developed to obtain information from different places and times,which provides more data to be analyzed to describe a specific scenario.Moreover,the data could be communicated over a cloud.
