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Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment
Published on: December 11, 2015
Inertial sensors for smartphones navigation.
P Dabove1, G Ghinamo2, A M Lingua1
1Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129, Turin, Italy.
This study evaluates smartphone inertial sensors for indoor navigation accuracy. High precision positioning (15 cm) is achievable with a 1-second update interval, but accuracy degrades significantly with longer intervals.
Area of Science:
- Geomatics Engineering
- Mobile Sensing Technologies
Background:
- Smartphones and tablets offer ubiquitous location-aware services through integrated GPS/GNSS and inertial sensors.
- These devices are increasingly utilized for activity planning, social networking, and indoor/outdoor positioning.
Purpose of the Study:
- To assess the performance of smartphone inertial sensors for indoor navigation.
- To determine the accuracy and precision of location data obtainable from internal and external sensors in an indoor environment.
Main Methods:
- Conducted tests using smartphones and their inertial platforms to evaluate indoor navigation capabilities.
- Focused on attitude and drift estimation with varying update intervals (1s, 2s, 5s).
- Analyzed positioning accuracy and precision using image-based data.
Main Results:
- Achieved 2D accuracies of approximately 15 cm for attitude and drift estimation with a 1-second update interval.
- Accuracy decreased to 50 cm with a 2-second interval and 2.2 meters with a 5-second interval.
- Demonstrated residual benefits for longer intervals, though with reduced precision.
Conclusions:
- Smartphone inertial sensors show potential for accurate indoor navigation, particularly with short update intervals.
- The precision of location estimation is highly dependent on the sensor's update frequency.
- Further research may optimize algorithms to mitigate accuracy degradation over time.
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