Patent application EP17174661A (EP), filed 2017-06-07
Publication number: EP3255601A1
Title: A METHOD FOR USING DATA COLLECTED BY A MOBILE COMMUNICATION DEVICE FOR DETECTING STATE OF HUNGER IN A FOOD RECOMMENDATION SYSTEM
Abstract: Presented is invention is a method that uses a system for collecting data from a mobile communication device in order to detect the state of hunger of the user of the mobile communication device and to input that data into a coupon recommendation system. The method uses the collected data to determine the state of hunger and also to recognize if it is a real hunger or an emotional hunger.
IPC codes: G06Q  30/    02            A I
Claims: number: 1
text: A method of using a system comprising a processor containing software algorithms including machine learning algorithms and a database to determine the state of hunger of a user of a mobile communication device from data collected from the mobile communication device, the method comprising a training stage and an operational stage, wherein:
number: 2
text: The method of claim 1, wherein the ratio for emotional/real hunger of the user is sent to the recommendation module in a recommendation system and used as input to the software algorithms in this module that determine which coupons to offer to the user.
number: 3
text: The method of claim 2, wherein location data obtained from a mobile communication device is used by the recommendation system to infer the proximity of various service providers associated with the coupon service.
number: 4
text: The method of claim 1, wherein data that can be obtained from a mobile communication device includes at least one of:
number: 5
text: The method of claim 4, wherein the motion data is analyzed to extract the attributes and meta-attributes that are used by the machine learning algorithms.
number: 6
text: The method of claim 5, wherein analyzing the motion data includes transformation of the data by using Fourier Transformation.
number: 7
text: The method of claim 4, wherein the voice data is analyzed to infer expressions of anger, frustration or boredom from the tone of the user's speech.
number: 8
text: The method of claim 7, wherein the waveform of the sound is transformed into meta-attributes that are used by the machine learning algorithms.
number: 9
text: The method of claim 8, wherein the waveform of the sound is transformed by using a Fourier transformation.
number: 10
text: The method of claim 1, wherein the method is extended beyond a predictive recommendation and used for healthcare purposes.
number: 11
text: The method of claim 10, wherein the processor of the system uses the ratio for emotional/real hunger to send a warning to the user that can help the user to control the urge to indulge in excessive emotional eating.
number: 12
text: The method of claim 1, wherein the system is provided in one of the following ways:
Office action: search_report, dated 2017-12-13
Rejection reasons: novelty_epc_54
Prior art cited: ref_id: US201514691895A
ref_type: patent
severity: background
ref_id: US201514734038A
ref_type: patent
severity: background
ref_id: US201514952280A
ref_type: patent
severity: background
ref_id: US2014089399A1
ref_type: patent
severity: background
ref_id: GB2522708A
ref_type: patent
severity: background
ref_id: US2015332311A1
ref_type: patent
severity: background
ref_id: US2014089399
ref_type: patent
severity: novelty_destroying
ref_id: GB2522708
ref_type: patent
severity: novelty_destroying
ref_id: US2015332311
ref_type: patent
severity: novelty_destroying
Final disposition: pending (2017-12-13)