Smart Interactive System Research Articles

Intrinsically Stretchable Organic-Tribotronic-Transistor for Tactile Sensing.

Stretchable electronics are of great significance for the development of the next-generation smart interactive systems. Here, we propose an intrinsically stretchable organic tribotronic transistor (SOTT) without a top gate electrode, which is composed of a stretchable substrate, silver nanowire electrodes, semiconductor blends, and a nonpolar elastomer dielectric. The drain-source current of the SOTT can be modulated by external contact electrification with the dielectric layer. Under 0-50% stretching both parallel and perpendicular to the channel directions, the SOTT retains great output performance. After being stretched to 50% for thousands of cycles, the SOTT can survive with excellent stability. Moreover, the SOTT can be conformably attached to the human hand, which can be used for tactile signal perception in human-machine interaction and for controlling smart home devices and robots. This work has realized a stretchable tribotronic transistor as the tactile sensor for smart interaction, which has extended the application of tribotronics in the human-machine interface, wearable electronics, and robotics.

Towards better information transparency in the air traffic landing system: A novel agent-based model with implicit interactions

With the ever-increasing demands of air traffic flow management, its landing system requires fundamental improvements to meet the future needs. For the current landing system, information gaps between parties (i.e. pilots and air traffic controllers) cause interaction conflicts, which hinder a system's risks detection and mitigation. Therefore, a well-implementation of data-links can promise a better information transparency, by facilitating the development of team cognition and the execution of implicit interaction between parties to predictively adapt to changing conditions. To achieve it, this research proposes a smart interaction system based on the two agent-based models (ABMs), and further compared them to examine the improvements of a system's reliability and efficiency. Results show that implicit interaction significantly reduces the reactive actions needed to cope with congestions and system errors. Moreover, the efficiency of resource utilization is also improved without causing significant delay, and hence characterizes a more reliable and efficient landing system.

A High-Security and Smart Interaction System Based on Hand Gesture Recognition for Internet of Things

In this work, we propose a vision-based hand gesture recognition system to provide a high-security and smart node in the application layer of Internet of Things. The system can be installed in any terminal device with a monocular camera and interact with users by recognizing pointing gestures in the captured images. The interaction information is determined by a straight line from the user’s eye to the tip of the index finger, which achieves real-time and authentic data communication. The system mainly contains two modules. The first module is an edge repair-based hand subpart segmentation algorithm which combines pictorial structures and edge information to extract hand regions from complex backgrounds. Second, the position which the user focuses on is located by an adaptive method of pointing gesture estimation, which adjusts the offsets between the target position and the calculated position due to lack of depth information.