136 results about "Smoking behavior" patented technology

The invention provides methods for characterizing a subject's overall smoking behavior and the subject's puff morphology in dependence on tidal volume information provided by ambulatory physiological monitoring. This invention also systems for executing the methods of this invention and computer-readable media having encoded the methods of this invention.

Systems and methods for monitoring of biometric and contextual variables to assist in screening for, quantification of, and prediction of smoking behavior, and for assisting in smoking cessation are described.

The invention discloses a smoking behavior identification method for an open space. The method comprises the steps of performing training by adopting a sample picture comprising a face, hands and a cigarette to obtain a first model; performing training by adopting a sample picture comprising an upper arm and a lower arm of an arm to obtain a second model; performing training by adopting a smokingbehavior time interval data set to obtain a third model; obtaining an infrared image of a to-be-identified region; determining the position of a heat source firstly; further obtaining a video sequence; inputting the video sequence into the model to obtain static similarity and dynamic similarity; and finally, comprehensively judging whether a smoking behavior exists or not. According to the method, mainly based on static picture analysis and identification when a key behavior occurs, and supplemented by key behavior occurrence time analysis, the problem that a smoking behavior in a place is not easy to judge by using smoke is solved; and dynamic similarity is combined on the basis of static similarity judgment, so that the judgment precision of the smoking behavior can be greatly improved.

Systems and methods for monitoring of biometric and contextual variables to assist in screening for, quantification of, and prediction of smoking behavior, and for assisting in smoking cessation are described.

Smoking cessation lighter is configured for lighting cigarettes for a smoker, and learning software is provided for monitoring smoking behavior of a smoker during a first data collection period and guiding a smoker's smoking cessation by directing the smoker when the smoker is to smoke a cigarette based on data collected during the first data collection period. The learning software monitors user behavior and collects data during use of the lighter by the smoker after the initial data collection period in order to analyze and further guide the smoker based on the smoker's cheating behavior, the smoker's behavior of lighting a cigarette for a friend, and the smoker's behavior of skipping use of the lighter at a time when the smoker has been directed to light a cigarette by the lighter.

The invention relates to a monitoring method for a smoking behavior of a driver. The method comprises the steps of building a face detecting classifier and a nose detecting classifier; acquiring a driving state image of the driver on real time; accurately positioning an effective mouth detecting area of the driver from the driving state image; determining whether a cigarette is in the effective mouth detection area in the driving image state at the current frame. The method has the characteristics of being high in monitoring accuracy, small in detection mission and false mission rate, fast in speed and low in cost.

Systems and methods for monitoring of biometric and contextual variables to assist in screening for, quantification of, and prediction of smoking behavior, and for assisting in smoking cessation are described.

The invention provides a method and device for identifying smoking based on a video image, a server and a storage medium, and the method comprises the steps: obtaining a to-be-detected monitoring video, extracting a key image frame, and carrying out the human body posture feature extraction of the key image frame; identifying the to-be-detected monitoring video by utilizing the smoke identification model to judge whether smoke exists or not; utilizing a posture recognition model to recognize the extracted human body posture so as to judge whether a specific human body posture matched with theextracted human body posture exists in a posture library or not; if the smoke recognition model outputs that smoke exists and the posture recognition model outputs a recognition result that a specifichuman body posture exists, determining that a smoking event exists. According to the method and device, smoking events are monitored and recognized in time, the method and device can be widely applied to no-smoking areas such as schools, shopping malls, factories and urban public transportation places, rapid, real-time and online intelligent recognition and monitoring of illegal smoking behaviorsare achieved, public health maintenance is facilitated, public safety is guaranteed, and civilized cities are established.

The invention discloses a daily smoking behavior detection method based on wearable equipment. The method uses the wearable equipment, an intelligent mobile phone and wearable Bluetooth audio equipment are comprised and taken as audio transmitting and receiving devices. A series of necessary smoking actions of a user while smoking are taken as points of penetration, a mode identification method is combined to judge a lighter sound and a deep breathing action when the user smokes, and a Doppler effect caused by an arm waves when the user smokes is taken as basic principle, so a judgment for a smoking behavior is completed. The method has the advantages of simple equipment obtaining, smoking behavior judgment real-time performance, the fast judgment speed, high correct rate and the like; and the method can be used in many application fields such as smoking detection, human health evaluation and human psychological condition evaluation.

The invention provides a helmet wearing and smoking behavior recognition method based on deep learning. The method comprises the following steps: constructing a training set and a verification set; performing data amplification on the training set; constructing a head target detection network; and training and predicting the detection network. According to the helmet wearing and smoking behavior recognition method based on deep learning, the diversity of applied illumination and the complexity of the target size and form are fully considered; according to the method, the Centernet network based on Resnet18 and the classification network based on Mobientv3 are used, so that the target detection speed is ensured, and the detection accuracy is improved.

The invention discloses a smoking behavior identification method and device. The method comprises the following steps: identifying an acquired image to obtain a mouth area of a user in the image; Determining whether a highlight area exists in the mouth area or not; And when the highlight area exists in the mouth area, determining the smoking behavior of the user. The technical problem of how to accurately confirm the smoking behavior of the user in the related art can be solved.

The present application relates to a smoking behavior recognition method, system, computer device and storage medium. The method comprises the following steps: face detection is performed on the acquired monitoring image to recognize the face region image in the image; acquiring white pixel points in the face region image, and identifying cigarettes in the face region image according to the numberof white pixel points; identifying smoke in the face region image according to the change of the energy value of the face region image in the monitoring process; identifying smoking behavior in the monitored image based on cigarettes and smoke identified from the face region image. The method can make the detection results not affected by external factors, and can more accurately detect the smoking behavior in the monitoring image, and the false detection rate is low.

The invention provides an intelligent lighter. The intelligent lighter comprises a shell and a flap arranged above the shell, wherein the upper end of the shell is provided with a lighter. The intelligent lighter is technically characterized in that a control chip and a power supply which supplies power to the control chip are formed in the shell; an image probe and a smoke sensor are formed in the flap; the image probe and the smoke sensor are connected with the control chip, respectively; a display screen is arranged on the shell and is connected with the control chip. According to the intelligent lighter, the smoking behavior of a smoker is detected by virtue of the image probe and the smoke sensor; and the detection information is transmitted to a single-chip microcomputer, the single-chip microcomputer judges whether a user is smoking or not, and counts the smoking number and displays the smoking number by the display screen, so as to exhort the smoker to reduce the smoking amount or quit from smoking. The control chip is further connected with a clock chip, and a switching button which is connected with the control chip is arranged on the lighter body and is ued for switching the smoking information displayed on the display screen to clock information, so that a smoker can conveniently look at time, and meanwhile the pressure of the smoker, caused by too much prompt messages related to harmfulness of smoking, is avoided.

The embodiment of the invention provides a smoking behavior detection method and device, a terminal and a readable storage medium. The smoking behavior detection method comprises the following steps:acquiring a target image containing a target person; recognizing the position of a human face and the position of a palm according to the target image; judging whether the target person has a smokingbehavior or not according to the position of the human face and the position of the palm; and if the smoking behavior exists, recording an image containing the human face and the palm. Based on obtained image information, the smoking behavior detection method can process a plurality of target images at the same time, and can acquire the smoking image of the target person as a recording image to bestored as evidence, when it is determined that the smoking behavior exists, so that the technical effects that whether the smoking behavior exists in the target person logo or not is detected in time, and the smoking behavior of the target person can be recorded as smoking evidence are achieved.

Methods, apparatuses and systems for detecting smoking behavior of a user are described. Methods may include receiving accelerometry data from at least one accelerometer coupled with the user and detecting a pattern of movement from the accelerometry data indicative of smoking behavior. Described methods may also include detecting a plurality of sub-patterns of movement such as repeatedly swinging at least one hand toward and away from the user's face in a sequence indicative of smoking behavior. An apparatus for detecting smoking behavior of a user may include a processor, memory in electronic communication with the processor, and instructions stored in the memory and operable, when executed by the processor, to cause the apparatus to receive accelerometry data from at least one accelerometer and detect a pattern of movement from the accelerometry data indicative of smoking behavior.

The embodiment of the invention discloses a method and device for identifying the smoking behavior. The method includes the steps that the included angle between the upper arm and the lower arm of each arm of an individual is monitored every time the arms are static, and/or a time point of each arm of the individual every time the corresponding arm is static and a time point of the corresponding arm starting to move are monitored, and the time points are the first time point and the second time point respectively; whether the included angle between each upper arm and the corresponding lower arm meets a preset arm included angle condition or not is judged, and/or whether a difference value between the second time point and the first time point meets a preset smoking duration condition every time the individual smokes or not is judged; if the included angle between each upper arm and the corresponding lower arm meets the preset arm included angle condition, and/or the difference value between the second time point and the first time point meets the preset smoking duration condition, it is determined that the individual conducts the smoking behavior once. By the adoption of the method and device, the smoking behavior of the individual can be identified every time according to arm movement of the individual.

The present invention relates in general to human genetic polymorphisms and their association with human health and to methods and materials for analyzing allelic variations, and to the use of genetic polymorphisms in the diagnosis and treatment of smoking behavior and nicotine dependence. Provided herein are methods for determining risk in a subject of developing regular smoking behavior. Also provided are primers, probes, microarrays, and kits related thereto.

The invention relates to a public environment management method and system. The method comprises the following steps: receiving real-time monitoring images of a non-smoking area reported by a monitoring device and position information of the monitoring device; when determining that monitored personnel in the real-time monitoring images have smoking behaviors, intercepting images or image segments comprising the smoking behaviors of the monitored personnel; and sending the images or image segments comprising the smoking behaviors of the monitored personnel as well as the position information of the monitoring device to a user terminal of a management staff. The public environment management method and system can enable the smoking behaviors in the monitoring images to be found in real time, and enable the images or image segments comprising the smoking behaviors of smokers to the user terminal of the management staff to inform the management staff to go to the sites of the smokers; and the management staff can identify the smokers according to the intercepted images or image segments, and regards the intercepted images or image segments as evidences of punishment for the smokers, so that the smoking behaviors of the smokers can be processed timely and effectively, and health order of public environment is maintained.

The invention discloses a smoking behavior evaluating system. The system comprises a smoking behavior measuring system, wherein the smoking behavior measuring system comprises a smoking recording device and a smoking measuring device; the smoking recording device is used for recording the smoking state of a user and sending the smoking state to the smoking measuring device; the smoking measuring device is used for recording user information and receiving smoking information. The smoking behavior evaluating system provided by the invention can acquire obtaining long-term, accurate and overall smoking data, and the measured data is accurate and complete, so that the smoking behavior evaluating system has a data mining potential and provides powerful data support to later stage application.

The invention discloses a smoking behavior detection method and system, a terminal and a storage medium. The method comprises the following steps: acquiring smoking image data acquired by the color scene capture device, acquiring smoking information data acquired by the smoking information detection device, preliminarily judging whether a smoking behavior exists in the behavior object or not basedon the smoking image data, and deeply analyzing smoking behavior information of the behavior object based on the smoking information data when a preliminary judgment result is yes. According to the invention, by comprehensively analyzing the related information acquired by the color camera and the smoking information detection device, the accuracy of the detection information can be ensured, thediversity of behavior analysis is improved, and the wide popularization of smoking behavior detection is facilitated.

The invention relates to a driving behavior safety evaluation system, which comprises a map acquisition module used for acquiring a vehicle driving map and obtaining a speed limit value of a vehicle driving corresponding road section; a vehicle speed detection module which is used for positioning a driving vehicle and detecting the driving vehicle speed of the driving vehicle to obtain vehicle overspeed information; a face monitoring module which is used for monitoring a face image of a driver to obtain head lowering information of the driver when the vehicle runs; a cigarette end monitoring module which is used for acquiring cigarette end information in a compartment to obtain smoking behavior information of a driver; and a traffic sign detection module which is used for detecting traffic information outside the driving vehicle to obtain traffic sign violation information. And the safety evaluation module obtains driving behavior safety evaluation information. According to the driving behavior safety assessment system, the driving behavior is assessed by acquiring the driving behavior of the driver, so that the problem of serious consequences caused by bad driving habits of the driver in the driving process is limited.