Pedometer Lag Correction via Dual Sensor Verification
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Solution Overview
Problem
Digital pedometers face challenges in achieving both accuracy and promptness in step count measurement, with prompt pedometers being inaccurate and lagged pedometers being slow to respond and underreporting steps.
Innovation Solution
A system that combines a prompt pedometer and a lagged pedometer to detect missed steps by using a window of sensor data, where the prompt pedometer adjusts its detection threshold to increase step detection rate and the lagged pedometer verifies the detected steps, thereby improving accuracy and promptness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If a prompt pedometer uses real-time sensor data with lower threshold for immediate step detection, then step detection promptness is improved, but measurement accuracy deteriorates due to false positives from non-step movements
Solution Approach 1:
The pedometer system is divided into two independent pedometer algorithms: a first pedometer that processes real-time sensor data for prompt step detection, and a second pedometer that processes a window of sensor data for accurate step verification. Each pedometer operates independently with different detection strategies, allowing the system to combine their strengths while mitigating their individual weaknesses.
Solution Approach 2:
A correction mechanism acts as an intermediary between the two pedometers. The second pedometer serves as a validator that reviews sensor data windows to confirm or correct step detections made by the first pedometer. This intermediary process eliminates false positives from the prompt pedometer while preserving its rapid response capability.
2Measurement precision
If a lagged pedometer uses a window of sensor data with higher threshold for verification, then measurement accuracy is improved, but step detection promptness deteriorates causing missed steps
Solution Approach 1:
The first pedometer performs preliminary step detection using real-time sensor data with a lower threshold, identifying candidate steps before the second pedometer conducts its more rigorous analysis. This preliminary action allows the system to capture potential steps immediately while the verification process continues in the background.
Solution Approach 2:
The second pedometer provides feedback to the first pedometer by validating or correcting its step detections. The system continuously compares the outputs of both pedometers and uses the second pedometer's more accurate analysis to adjust and correct the first pedometer's detections, creating a feedback loop that improves overall accuracy without sacrificing promptness.
3Productivity
If the first pedometer lowers detection threshold to increase step detection rate, then promptness is improved, but false positive rate increases reducing accuracy
Solution Approach 1:
The system changes the detection threshold parameter differently for each pedometer: the first pedometer uses a lower threshold to maximize step detection rate and minimize missed steps, while the second pedometer uses a higher threshold to verify detections and eliminate false positives. This parameter differentiation allows each pedometer to optimize for its specific function.
Data Source
AI summary
Systems, methods and computer-readable storage mediums are disclosed for a pedometer with lag correction. In some implementations, a method comprises: determining, by a first pedometer of an electronic device, a first step count based on sensor data provided by a motion sensor of the electronic device; determining, by a second pedometer of the electronic device, a second step count based on a window of the sensor data; responsive to determining that a step was detected by the second pedometer, determining a third step count based on the window of sensor data; and determining a corrected step count based on the third step count.


