A natural user interface(NUI)with ample information perception capability is a crucial element for the next-generation human–machine interaction and the development of the intelligent era.However,significant challeng...A natural user interface(NUI)with ample information perception capability is a crucial element for the next-generation human–machine interaction and the development of the intelligent era.However,significant challenges remain to be solved in developing intelligent and natural interfaces with satisfactory smart sensing performance.Here,we report an NUI based on an intelligent fabric bracelet empowered with wide-range pressure detectability,enabling invisible and efficient human–machine interaction.The wide-range pressure-sensing ability of the fiber-based pressure sensor can be attributed to the coupling mechanism of contact resistance change and quantum tunneling effect.The fiber-based sensor array is then integrated with a miniaturized wireless flexible printed circuit board,forming an intelligent and compact fabric bracelet system for natural interactive applications in wireless smart home control and virtual reality.It is envisioned that the NUI based on the pressure-sensitive and intelligent fabric bracelet will significantly contribute to the development of next-generation NUIs for more diversified control and interactive applications.展开更多
This paper presents a two-agent framework to build a natural langua g e query interface for IC information system, focusing more on scope queries in a single English sentence. The first agent, parsing agent, syntact...This paper presents a two-agent framework to build a natural langua g e query interface for IC information system, focusing more on scope queries in a single English sentence. The first agent, parsing agent, syntactically p rocesses and semantically interprets natural language sentence to construct a fu zzy structured query language (SQL) statement. The second agent, defuzzif ying agent, defuzzifies the imprecise part of the fuzzy SQL statement into its e quivalent executable precise SQL statement based on fuzzy rules. The first agent can also actively ask the user some necessary questions when it manages to disa mbiguate the vague retrieval requirements. The adaptive defuzzification approach employed in the defuzzifying agent is discussed in detail. A prototype interface has been implemented to demonstrate the effectiveness.展开更多
基金supported by the National Key R&D Program of China(2022YFB3603403,2021YFB3600502)the National Natural Science Foundation of China(62301150)+1 种基金the Nanjing Science and Technology Innovation Project for Returned Overseas Talent(4206002302)the Postgraduate Research&Practice Innovation Program of Jiangsu Province(SJCX23_0042,SJCX23_0041).
文摘A natural user interface(NUI)with ample information perception capability is a crucial element for the next-generation human–machine interaction and the development of the intelligent era.However,significant challenges remain to be solved in developing intelligent and natural interfaces with satisfactory smart sensing performance.Here,we report an NUI based on an intelligent fabric bracelet empowered with wide-range pressure detectability,enabling invisible and efficient human–machine interaction.The wide-range pressure-sensing ability of the fiber-based pressure sensor can be attributed to the coupling mechanism of contact resistance change and quantum tunneling effect.The fiber-based sensor array is then integrated with a miniaturized wireless flexible printed circuit board,forming an intelligent and compact fabric bracelet system for natural interactive applications in wireless smart home control and virtual reality.It is envisioned that the NUI based on the pressure-sensitive and intelligent fabric bracelet will significantly contribute to the development of next-generation NUIs for more diversified control and interactive applications.
文摘This paper presents a two-agent framework to build a natural langua g e query interface for IC information system, focusing more on scope queries in a single English sentence. The first agent, parsing agent, syntactically p rocesses and semantically interprets natural language sentence to construct a fu zzy structured query language (SQL) statement. The second agent, defuzzif ying agent, defuzzifies the imprecise part of the fuzzy SQL statement into its e quivalent executable precise SQL statement based on fuzzy rules. The first agent can also actively ask the user some necessary questions when it manages to disa mbiguate the vague retrieval requirements. The adaptive defuzzification approach employed in the defuzzifying agent is discussed in detail. A prototype interface has been implemented to demonstrate the effectiveness.
