5 results about "Fingertip detection" patented technology

This application relates to a health detection method and system based on fingertip touch, comprising the following steps: using a fingertip detection device installed on a massage chair to emit light sources of different wavelengths to irradiate the fingertip skin and collect data on the changes in reflected light intensity; preprocessing the collected light intensity change data and extracting feature parameters from the preprocessed data based on the relationship between light intensity change and blood volume; calculating heart rate and blood oxygen saturation based on the feature parameters and generating a health detection report; and transmitting the generated health detection report to a mini-program server via encryption, allowing users to view the health detection report through a mobile mini-program.

The invention relates to the technical field of fingertip detection, and discloses a real-time fingertip detection method and device based on a lightweight model, and the method comprises the steps: collecting hand image data, and constructing a hand skeleton constraint relation database; performing hierarchical feature extraction and feature hierarchical adaptive fusion through a mixed density encoder network to generate a comprehensive feature map; carrying out feature mapping fusion, and outputting initial fingertip position coordinate data; performing network structure optimization on the mixed density encoder network by adopting a model lightweight technology to generate a lightweight fingertip detection model; according to the method, inter-frame differential detection and self-adaptive confidence threshold adjustment are executed, and a fingertip accurate position coordinate set updated in real time is output, so that the jitter phenomenon of a single-frame detection result is effectively inhibited, a smooth and continuous fingertip track is provided, and the naturalness and comfort of man-machine interaction are improved.

This invention relates to a miniature detection system based on magnetic particle imaging, belonging to the field of medical inflammatory imaging technology. This invention is a miniature and simple device for magnetic particle imaging for fingertip detection. It uses a microcontroller as the control terminal, a receiving coil that is closer to the imaging aperture, and low-diameter driving and receiving coils. By improving the signal-to-noise ratio and reducing background interference signals, it effectively improves experimental efficiency and the sensitivity of the detection system, and greatly enhances portability.

The application relates to the technical field of fingertip detection, and discloses a real-time fingertip detection method and equipment based on a lightweight model, which comprises the following steps: collecting hand image data and constructing a hand skeleton constraint relationship database; performing hierarchical feature extraction and feature hierarchical adaptive fusion through a mixed density encoder network to generate a comprehensive feature map; performing feature mapping fusion to output initial fingertip position coordinate data; adopting a model lightweight technology to optimize the network structure of the mixed density encoder network to generate a lightweight fingertip detection model; performing interframe difference detection and adaptive confidence threshold adjustment to output a real-time updated fingertip accurate position coordinate set, thereby effectively suppressing the jitter phenomenon of single-frame detection results, providing a smooth and continuous fingertip trajectory, and improving the naturalness and comfort of human-computer interaction.

The application relates to the technical field of intelligent human-computer interaction, in particular to an aerial handwritten text collection method based on an improved yolov5 network and monocular vision, which comprises the following steps: constructing an initial fingertip dataset and performing pretreatment to obtain a target fingertip dataset, improving the yolov5 network based on an efficient pyramid segmentation attention module EPSA and a weighted bidirectional feature pyramid network BiFPN, obtaining an improved yolov5 network, inputting a training set of the target fingertip dataset into the improved yolov5 network to obtain a fingertip detection model, obtaining real-time two-dimensional video images of aerial handwritten text based on a monocular camera and inputting the fingertip detection model, and forming the aerial handwritten text based on a coordinate system virtual sliding technology, so that the technical problems that, in the prior art, a 3D sensor is large and expensive, resulting in insufficient universality, the requirement for a WIFI environment is relatively strict, resulting in relatively large limitation, and a fingertip is a small target, resulting in low detection accuracy and high omission rate when the yolov5 network detects the fingertip are solved.