Electronic Exercise Detection Using Inertia, GNSS, and Heart Rate Sensors
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Solution Overview
Problem
Existing electronic devices struggle to accurately and efficiently detect specific exercises due to similar signal patterns from different physical activities, often leading to delayed or missed exercise record notifications, especially for exercises like cycling.
Innovation Solution
The electronic device employs a combination of inertia, GNSS, and heart rate sensors to differentiate specific exercises by monitoring movement speed and heart rate, providing timely exercise detection and recordkeeping, even in conditions where GNSS is unavailable.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single sensor is used to detect exercise, then the device complexity is reduced, but the measurement precision and reliability of exercise detection deteriorates due to similar signal patterns from different physical activities
Solution Approach 1:
The patent combines multiple sensors (inertia sensor, GNSS sensor, and heart rate sensor) to detect exercise. The inertia sensor detects movement patterns, the GNSS sensor provides speed and location data, and the heart rate sensor monitors physiological response. By merging data from these three sensors, the system achieves accurate exercise detection and differentiation, resolving the contradiction between device complexity and measurement precision.
2Measurement precision
If multiple sensors are combined to improve exercise detection accuracy, then the measurement precision improves, but the device complexity increases
Solution Approach 1:
The patent implements a multi-functional detection system where the sensor combination serves multiple purposes: the inertia sensor detects both movement patterns and intensity, the GNSS sensor provides speed and location information, and the heart rate sensor monitors physiological state. This universal approach allows the system to detect various types of exercises (running, cycling, swimming) using the same sensor combination, improving measurement precision without proportionally increasing device complexity.
Solution Approach 2:
The system automatically processes and integrates data from multiple sensors without requiring manual intervention. The processor autonomously combines inertia sensor data, GNSS data, and heart rate data to determine exercise type and intensity, then generates notifications and records accordingly. This self-service mechanism reduces the operational complexity of managing multiple sensors.
3Reliability
If the system waits for notification identification before recording exercise, then the reliability of notification is improved, but the loss of time occurs as exercise records may be deleted before notification is identified
Solution Approach 1:
The patent implements preliminary recording of exercise data before formal notification is displayed to the user. The system continuously monitors sensor data and pre-records exercise information in the background, so that when the exercise is detected and notification is generated, the record already exists and cannot be lost. This preliminary action resolves the contradiction by ensuring both notification reliability and preventing time loss in record creation.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach allows for accurate and timely detection of specific exercises, compensating for missed records and enhancing user safety by providing a comprehensive exercise interface.
Implementation Method 1
an inertia sensor
Implementation Method 2
a global navigation satellite system (GNSS) sensor
Implementation Method 3
a heart rate (HR) sensor
Data Source
AI summary
An electronic device includes an inertia sensor, a global navigation satellite system (GNSS) sensor, a heart rate (HR) sensor, a memory including one or more storage media and storing instructions, a display, and a processor, and the instructions, when executed by the at least one processor individually or collectively, cause the electronic device to: identify a specific exercise based on a signal detected through the inertia sensor; determine whether the GNSS sensor is available; identify a movement speed of the electronic device based on the GNSS sensor; and based on determining that the identified movement speed is within a designated speed range, determine that a user is performing the specific exercise and execute a function of the electronic device.