Activity State Detection Mode Switching for Power Reduction
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Solution Overview
Problem
Existing activity state information detecting devices face challenges in efficiently operating for extended periods due to high power consumption from pulse wave sensors, particularly when calculating activity state information, and lack a method to automatically switch between using pulse wave and body motion information based on user state or battery levels.
Innovation Solution
An activity state information detecting device with a pulse wave measuring section, a body motion measuring section, and a processing section that performs mode switching between calculating activity state information using pulse wave information and body motion information, based on battery levels, user behavior, schedule, and position information, allowing for efficient operation by prioritizing lower power consumption modes when necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If pulse wave sensor is used to calculate activity state information, then measurement precision is improved, but power consumption increases
Solution Approach 1:
The system dynamically switches between pulse wave measurement mode and body motion measurement mode based on accumulated measurement time and activity state. The measurement mode is not fixed but adapts over time, allowing the device to use high-precision pulse wave measurements only when necessary while relying on lower-power body motion sensors for routine monitoring.
Solution Approach 2:
The system changes the measurement parameter from pulse wave information to body motion information based on the current state. This parameter switching allows the device to maintain measurement functionality while adjusting power consumption levels according to battery status and measurement duration.
2Measurement precision
If pulse wave sensor operates continuously, then measurement precision is improved, but device operation duration decreases
Solution Approach 1:
Instead of continuous pulse wave measurement, the system employs periodic measurement based on accumulated time thresholds. The pulse wave sensor is activated at specific intervals or when certain conditions are met, rather than operating continuously, thereby extending device operation duration while still providing accurate measurements periodically.
Solution Approach 2:
The system uses body motion sensors for continuous monitoring (partial action) and supplements with pulse wave sensors only when additional precision is needed (excessive action). This partial use of the high-power sensor achieves the necessary measurement precision without requiring excessive operation of the pulse wave sensor.
3Use of energy by moving object
If body motion sensor is used for calculation, then power consumption is reduced, but measurement precision deteriorates
Solution Approach 1:
The system merges the outputs of both body motion sensors and pulse wave sensors to calculate activity state information. By combining data from multiple sensor types, the system achieves higher measurement precision than body motion sensors alone while still allowing periods of operation using only the lower-power body motion sensors.
Solution Approach 2:
The control unit acts as an intermediary that determines when to use body motion information versus pulse wave information. It mediates between the two measurement approaches, selecting the appropriate data source based on current conditions, thereby optimizing both power consumption and measurement precision.
4Adaptability or versatility
If automatic mode switching is implemented, then adaptability is improved, but device complexity increases
Solution Approach 1:
The system performs self-service by automatically determining when to switch between measurement modes based on pre-set criteria such as accumulated measurement time and activity state. The control unit autonomously makes decisions about which sensor to use without requiring complex external control logic or user intervention, achieving adaptability through relatively simple self-contained decision rules.
Data Source
AI summary
An activity state information detecting device includes: a pulse wave measuring section that measures pulse wave information of a user; a body motion measuring section that measures body motion information of the user; and a processing section that performs a calculation process of activity state information of the user, in which the processing section performs a mode switching process between a first mode for performing the calculation process of the activity state information based on the body motion information and a second mode for performing the calculation process of the activity state information based on the pulse wave information.