54 results about "Eating behavior" patented technology

A device for monitoring eating behavior of a user is provided. The device includes at least one sensor mounted on a head of the user, the sensor being capable of detecting jaw muscle movement and sound while not occluding an ear canal of the user.

A method for modulating eating behavior comprising (i) generating at least one confounding neuro-electrical signal that is adapted to modulate the sense of taste in the body, (ii) generating at least one confounding neuro-electrical signal that is adapted to modulate the sense of smell in the body, and (ii) transmitting at least one of the confounding neuro-electrical signals to a subject to modulate the subject's sense of taste or smell. In a preferred embodiment, both confounding neuro-electrical signals are transmitted to the subject to modulate the subject's sense of taste and smell.

Apparatuses and methods for corrective guidance of eating behavior of a patient equipped with a gastric restriction device. The apparatus provides continuous monitoring or one or more parameters related to food passing through the gastric restriction device. Each monitored parameter is processed to provide a visual indication of the current eating behavior. The visual indication is used as input to the patient or a caregiver to modify the eating behavior. In some embodiments, the apparatus includes an emergency relief mechanism that automatically relieves excess pressure developing in the gastric restriction device. In some embodiments, the apparatus is enabled to deliver an appetite suppressant to modify the eating behavior.

System and method for identifying, measuring and analyzing food nutritional values and consumer eating behaviors is disclosed. A food container, having weight sensors and food identification sensors, identifies weight, type, and preparation status of the food item being consumed by the user from the food container. Based on the identified information, the nutritional value of the food item is determined and observed. The food container in communication with the system components may provide the user a recommended meal plan to improve the user's health condition. In addition, the food container issues an alert to the user when the user puts too much, too less, or the right amount of food items in the food container or eats the food items too fast.

System and method for identifying, measuring and analyzing food nutritional values and consumer eating behaviors is disclosed. A food container, having weight sensors and food identification sensors, identifies weight, type, and preparation status of the food item being consumed by the user from the food container. Based on the identified information, the nutritional value of the food item is determined and observed. The food container in communication with the system components may provide the user a recommended meal plan to improve the user's health condition. In addition, the food container issues an alert to the user when the user puts too much, too less, or the right amount of food items in the food container or eats the food items too fast.

Apparatuses and methods for corrective guidance of eating behavior of a patient equipped with a gastric restriction device. The apparatus provides continuous monitoring or one or more parameters related to food passing through the gastric restriction device. Each monitored parameter is processed to provide a visual indication of the current eating behavior. The visual indication is used as input to the patient or a caregiver to modify the eating behavior. In some embodiments, the apparatus includes an emergency relief mechanism that automatically relieves excess pressure developing in the gastric restriction device. In some embodiments, the apparatus is enabled to deliver an appetite suppressant to modify the eating behavior.

A computerized device and system providing a subject with a behavioral plan for maintaining or improving wellness in the field of addiction, especially eating and weight control is disclosed, comprising a computer usable medium with computer readable program code embodied, a means of inputting data concerned with psychological and physical descriptions of the subject's behavior into a retrievable and updatable database. A processing means with computer programmable code for processing input data to produce output data and a display means for displaying information is provided. The computer programmable code is adapted for calculating the optimal eating behavior to be prompted to the subject based upon application of an algorithm that processes input data and outputs a time resolved behavioral plan.

A system is provided for assisting a user in compulsive eating behavior normalization and weight-loss. The system includes an interface module configured to allow the user interface with the system. A hunger evaluation module, coupled to the interface module, evaluates the user's desire to eat to determine if it is caused by emotional stimuli, physical stimuli or both. An emotional hunger management module, coupled to the interface module interacts with the user to assist in alleviating emotional stimuli to eat. A physical hunger management module, coupled to the interface module, assists the user when the decision to eat has been made.

Systems have been devised for health management based upon genetic markers. Specifically, systems are arranged to compute genetic risk for several factors relating to metabolism and weight gain in view of various genotypes at particular markers in an individual's genome. An algorithm which depends upon these risk calculations and in further view of the presence of additional variants in the genome under test is executed to arrive at a diet type selection for the particular user. In additions to diet type selections, specific supporting diet related recommendations related to eating behaviors, food reactions and nutritional needs, based upon markers found in the genetic profile, are additionally included in a diet action plan.

The invention discloses a home page recommendation algorithm based on user eating behavior modeling. The method comprises: step one, all application operation behavior data of a user are obtained by means of application terminal point burying; step two, a clustering analysis is carried out on all user data by using an SVM to form a pre classification unit; step three, it is assumed that user behaviors in each classification in the pre classification unit are similar, modeling is carried out on users of each classification, all user data in the classification are learned by using a neural network for a user behavior model in each classification, and repeated iteration is carried out to obtain an optimal solution; and step four, latest behavior data of the users are substituted into the obtained models and recommendation information of the users is obtained in real time. According to the invention, difficulties of relative solidification and difficulty improvement of recommendation conversion rate in the prior art can be solved. On the basis of SVM pre classification, a classification user model is determined and dynamic recommendation is carried out based on the real-time algorithm model; and the maintenance cost is lowered and the home page recommendation conversion rate is improved.

A microcomputer-controlled automatic animal eating behavior detection device, the detection device includes an experimental channel, an electronic gate and an intelligent detector for realizing animal eating behavior detection, the experimental channel includes an entrance, and the entrance and exit are connected to at least two The entrances of the isolated passages are connected, food placement areas for different foods are set at the exits of the various passages, first infrared sensors are installed at the entrances and exits, electronic gates are installed at the entrances of the various passages, and electronic gates are installed at the entrances of the various passages. A second infrared sensor is installed inside, the first infrared sensor, the second infrared sensor, and the electronic gate are all connected to the channel control module, and the first infrared sensor and the second infrared sensor are connected to the animal eating behavior counting module , the animal eating behavior counting module is connected with a display. The invention provides an automatic animal eating behavior detection device controlled by a microcomputer which effectively detects the animal eating behavior and has good practicability.

The eating and drinking action detection apparatus: acquires vibration produced from inside of a body of a subject and generates a vibration signal corresponding to the vibration; divides the vibration signal into each frame to calculate power of the vibration signal for each frame; determines, for each frame, whether the frame is a stationary signal having a periodicity or a non-stationary signal having no periodicity; detects, based on the power of each frame and a determination result for each frame whether the frame is the stationary signal or the non-stationary signal, a period of the non-stationary signal being continued while the power of the vibration signal is equal to or larger than a power threshold, acquires a continuation time of the period; and determines, based on the continuation time, whether the subject performed swallowing or mastication in the period of the non-stationary signal being continued.

The invention provides an emulsion pump sealing apparatus formed by a flat tearing part (1) and a fixing part (2), wherein, the tearing part comprises a first annular part (5) which is formed through a tearing line (3) in a connection way and encircles a cylinder cover (4) of the emulsion pump and a ring sleeve (6) which is integrated with the upper part of the first annular part and is sleeved on a pressure head nozzle (8) of the emulsion pump; the fixing part comprises a second annular part (7) fixed around the cylinder cover of the emulsion pump, wherein, the lower part of the first annular part is mutually connected with the upper part of the second annular part through about three tearing lines. The tearing line of the first annular part is arranged on the lower left side of the ring sleeve. The sealing apparatus with the structure can avoid the dangerous caused by wrong eating behavior of children as the length of the torn tearing part is adequate.

The present invention relates to 2-Aminoquinoline derivatives of general formula Iand pharmaceutically-acceptable acid-addition salts thereof, wherein R1, R2 and X are as defined in the specification. The compounds may be used as 5-HT5A receptor antagonists. The present invention relates also to processes for making such a compound and a pharmaceutical composition comprising such a compound. Compounds of the present invention are useful in the prevention and / or treatment of anxiety depression, anxiety disorders, schizophrenia, panic disorders, agoraphobia, social phobia, obsessive compulsive disorders, post-traumatic stress disorders, pain, memory disorders, dementia, disorders of eating behaviors, sexual dysfunction, sleep disorders, withdrawal from abuse of drugs, motor disorders such as Parkinson's disease, psychiatric disorders and gastrointestinal disorders.

Apparatuses and methods for corrective guidance of eating behavior of a patient equipped with a gastric restriction device. The apparatus provides continuous monitoring or one or more parameters related to food passing through the gastric restriction device. Each monitored parameter is processed to provide a visual indication of the current eating behavior. The visual indication is used as input to the patient or a caregiver to modify the eating behavior. In some embodiments, the apparatus includes an emergency relief mechanism that automatically relieves excess pressure developing in the gastric restriction device. In some embodiments, the apparatus is enabled to deliver an appetite suppressant to modify the eating behavior.

A device for modifying an eating behavior of a subject is provided. The device is configured for implantation within the oral cavity and is capable of altering a palatal vault of the subject.

The invention discloses a probabilistic context free grammar for food intake. The invention regards monitoring and modification of eating behavior through continuous meal weight measurements, and hasbeen successfully applied in clinical practice to treat obesity and eating disorders. For this purpose, the Mandometer R trademark, a plate scale, along with video recordings of subjects during the course of single meals, has been used to assist clinicians in measuring relevant food intake parameters. In this work, we present a novel algorithm for automatically constructing a subject's food intakecurve using only the Mandometer R trademark weight measurements. This eliminates the need for direct clinical observation or video recordings, thus significantly reducing the manual effort required for analysis. The proposed algorithm aims at identifying specific meal related events (e.g. bites, food additions, artifacts), by applying an adaptive pre-processing stage using Delta coefficients, followed by event detection based on a parametric Probabilistic Context-Free Grammar on the derivative of the recorded sequence. Experimental results on a dataset of 114 meals from individuals sufferingfrom obesity or eating disorders, as well as from individuals with normal BMI, demonstrate the effectiveness of the proposed approach.

A method to modify weight and nutrition by creating a profile of user behavior and psychological factors; matching that profile to potential behavior changes that have been shown to induce positive change in persons with the user's profile; generating a list of recommended behavior changes for the user that are correlated with positive change for the user's profile; providing the user with a specific plan for adoption of the recommended changes; and modifying the plan over time in response to user experience. Psychological support for the user can be provided to continue in and comply with the plan. The plan can be created and maintained through a website accessed via computer connection to the Internet and the psychological support can be provided by electronic communications.

Disclosed are a method and an apparatus for calculating a meal period, the method including: calculating, by a wrist acceleration calculating unit, a wrist acceleration variation value which is a variation value of acceleration in respect to a motion of a user's wrist which is measured based on gravitational acceleration; calculating, by a wrist angle calculating unit, a wrist angle variation value which is a variation value of an angle to the user's wrist based on a gravitational direction by using the wrist acceleration variation value; detecting, by an eating behavior candidate pattern detecting unit, an eating behavior candidate pattern based on a predetermined reference by applying one or more threshold values to the wrist angle variation value; and calculating, by a meal period calculating unit, a meal period based on the number of times the eating behavior candidate pattern occurs.

A system for monitoring individual food intake of a livestock animal includes a calibration system configured to measure weight or volume of food intake of an animal over a pre-defined period of time and to calibrate a mathematical model for the animal based on the measure, a tracking system configured track animal eating behavior at times other than the pre-defined period of time and a computing system. The pre-defined period of time is less than three weeks. The mathematical model relates eating behavior of the animal and defined physiological parameters of the animal with food intake. The computing system determines food intake of the animal over a lactation period based on the mathematical model for the animal as calibrated and the eating behavior at the times other than the pre-defined period of time.

The invention relates to the technical field of motion behavior identification, and especially relates to a method and a device for discriminating animal motion behaviors based on position information. The method comprises: through obtaining three-axis acceleration data of motion behaviors of a to-be-treated animal, identifying and classifying at least stand behavior and eating behavior in motionbehaviors according to the three-axis acceleration data; obtaining position information of an animal at the time corresponding to the three-axis acceleration data, comparing the position information with an animal eating region; according to a D-S evidence theory algorithm, respectively distinguishing the stand behavior and the eating behavior which are identified and classified, to obtain real stand behavior and real eating behavior, classifying the motion behaviors according to the three-axis acceleration data firstly, then combining the acceleration data with position data, to distinguish behaviors which are easily confused, so that accuracy of behavior classification is effectively improved.