Heart Rate Fluctuation Analysis for Drink Intake Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing techniques face challenges in accurately detecting drink intake due to various arm motions during daily activities, leading to potential false detections.
Innovation Solution
An information processing device and method that utilizes a heartbeat measuring device to acquire heart rate fluctuations, calculates specific features such as speed, difference, intersection, baseline, fluctuation, amplitude, and area features, and compares these with pre-stored models to determine drink intake, independent of specific actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If arm motion detection is used to detect drink intake, then detection capability is provided, but false detection occurs due to various arm motions in daily life
Solution Approach 1:
The patent replaces mechanical motion detection (arm movement sensors) with physiological signal detection (heart rate monitoring). By measuring changes in heart rate that occur during drink intake, the system avoids false detections caused by various arm motions in daily life, as heart rate changes are specific to the physiological response of swallowing liquid.
Solution Approach 2:
The patent changes the detection parameter from mechanical motion characteristics to physiological parameter characteristics (heart rate). By monitoring heart rate variations and their temporal patterns during drink intake, the system achieves more reliable detection that is not confounded by unrelated arm movements.
2Productivity
If specific arm motion patterns are assumed for drink intake detection, then detection can be performed, but detection fails when other motions occur during drink intake
Solution Approach 1:
The patent creates a universal detection method that works across all drink intake scenarios regardless of accompanying arm motions. By focusing on the universal physiological response (heart rate change) that occurs during all drink intake events, the system achieves both broad detection coverage and high reliability.
Solution Approach 2:
The patent replaces mechanical motion pattern recognition with physiological signal analysis, enabling detection of drink intake through heart rate changes that occur universally during swallowing, independent of the specific mechanical motions involved.
Data Source
Figure 1
Figure 2A~2B
Figure 3
AI summary
An information processing device includes: a heart rate acquisition unit configured to acquire a heart rate of an object; a feature extraction unit configured to extract a feature from heart rate fluctuation with respect to time that is acquired by the heart rate acquisition unit; a storage configured to, in advance, store information associated with heart rate fluctuation of a drink intake; and a determination unit configured to determine whether the heart rate fluctuation acquired by the heart rate acquisition unit is caused by a drink intake, on a basis of the feature extracted by the feature extraction unit and the information stored in the storage.