SrTiO₃/CuNi‐Heterostructure‐Based Thermopile for Sensitive Human Radiation Detection and Noncontact Human–Machine Interaction

Abstract

Noncontact interactive technology provides an intelligent solution to mitigate public health risks from cross‐infection in the era of COVID‐19. The utilization of human radiation as a stimulus source is conducive to the implementation of low‐power, robust noncontact human–machine interaction. However, the low radiation intensity emitted by humans puts forward a high demand for photodetection performance. Here, a SrTiO3−x/CuNi‐heterostructure‐based thermopile is constructed, which features the combination of high thermoelectric performance and near‐unity long‐wave infrared absorption, to realize the self‐powered detection of human radiation. The response level of this thermopile to human radiation is orders of magnitude higher than those of low‐dimensional‐materials‐based photothermoelectric detectors and even commercial thermopiles. Furthermore, a touchless input device based on the thermopile array is developed, which can recognize hand gestures, numbers, and letters in real‐time. This work offers a reliable strategy to integrate the spontaneous human radiation into noncontact human–machine interaction systems.

An Artificial Neuromuscular System for Bimodal Human–Machine Interaction

“…Thus, a non-contact HMI based on single electrode TENG (SETENG)-SENT neural network was developed for real-time gesture recognition, which can provide a natural and unconstrained interaction for complexed and enriched information recognition in 3D space (Figure 6a,b). [10,30] The mechanism of SETENG is very similar to that of doubleelectrode TENG mentioned above (see Figure S14, Supporting Information). In this model, SETENG converts movement information of hand into direct current (DC) voltage through bridge circuit, while SENT performs signal conversion and neuromorphic manipulation to simulate body motor perception.…”

Biological and Bioinspired Thermal Energy Regulation and Utilization

“…Proximity/touch sensing can also be realized by the TEGs and PEGs. As human bodies are approaching the converters, the temperature rises and it generates electrical signals . Kang et al fabricated a PVDF-based PEG, which was highly sensitive to thermal radiation and could produce strong voltage response to thermal radiation, and the approaching finger within 15 mm could be detected (Figure g) …”

An overview of gesture recognition

“…Through the collection and statistics of the stable parameters, the relationship between the parameters and the task is determined, which can be used to guide the design related to natural human-computer interaction. In the field of gesture recognition research, some famous research institutions, such as Microsoft, NVIDIA, Google, Facebook, CAS, Intel, etc., have made many useful attempts and achieved many very valuable research results in gesture recognition support devices, gesture data sets, gesture recognition technologies and applications [11][12][13] .…”