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Design and testing of a multi-sensor pedestrian location and navigation platform.

Morrison A, Renaudin V, Bancroft JB, Lachapelle G - Sensors (Basel) (2012)

Bottom Line: In order to achieve compatibility and flexibility in terms of multiple sensors, an advanced adaptable platform is required.The system provides a research tool for pedestrian navigation, location and body motion analysis in an unobtrusive form factor that enables in situ data collections with minimal gait and posture impact.Testing and examples of applications of the NavCube are provided.

View Article: PubMed Central - PubMed

Affiliation: PLAN Group, Schulich School of Engineering, The University of Calgary, Calgary AB, Canada. ajmorris@ucalgary.ca

ABSTRACT
Navigation and location technologies are continually advancing, allowing ever higher accuracies and operation under ever more challenging conditions. The development of such technologies requires the rapid evaluation of a large number of sensors and related utilization strategies. The integration of Global Navigation Satellite Systems (GNSSs) such as the Global Positioning System (GPS) with accelerometers, gyros, barometers, magnetometers and other sensors is allowing for novel applications, but is hindered by the difficulties to test and compare integrated solutions using multiple sensor sets. In order to achieve compatibility and flexibility in terms of multiple sensors, an advanced adaptable platform is required. This paper describes the design and testing of the NavCube, a multi-sensor navigation, location and timing platform. The system provides a research tool for pedestrian navigation, location and body motion analysis in an unobtrusive form factor that enables in situ data collections with minimal gait and posture impact. Testing and examples of applications of the NavCube are provided.

No MeSH data available.


Time series of the spectrum of user hand motion when walking naturally with a handheld device. Dominant frequencies are observed in the range 0–5 Hertz and can be used to classify the motions of the hand and user.
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f7-sensors-12-03720: Time series of the spectrum of user hand motion when walking naturally with a handheld device. Dominant frequencies are observed in the range 0–5 Hertz and can be used to classify the motions of the hand and user.

Mentions: Figure 7, is also useful when attempting to categorize whether the motion being measured is the result of the handheld device swinging with the users stride or if it is indicative of a fixed body-device orientation, which is expected during interaction of the user with the device or if it captures a hand motion that is considered as parasite for the navigation process. Since different navigation algorithms can be tailored to each of these user motion categories, reliably differentiating between them improves the navigation performance achievable with handheld devices. Data analysis and results of these handheld navigation tests are presented in [37].


Design and testing of a multi-sensor pedestrian location and navigation platform.

Morrison A, Renaudin V, Bancroft JB, Lachapelle G - Sensors (Basel) (2012)

Time series of the spectrum of user hand motion when walking naturally with a handheld device. Dominant frequencies are observed in the range 0–5 Hertz and can be used to classify the motions of the hand and user.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3376552&req=5

f7-sensors-12-03720: Time series of the spectrum of user hand motion when walking naturally with a handheld device. Dominant frequencies are observed in the range 0–5 Hertz and can be used to classify the motions of the hand and user.
Mentions: Figure 7, is also useful when attempting to categorize whether the motion being measured is the result of the handheld device swinging with the users stride or if it is indicative of a fixed body-device orientation, which is expected during interaction of the user with the device or if it captures a hand motion that is considered as parasite for the navigation process. Since different navigation algorithms can be tailored to each of these user motion categories, reliably differentiating between them improves the navigation performance achievable with handheld devices. Data analysis and results of these handheld navigation tests are presented in [37].

Bottom Line: In order to achieve compatibility and flexibility in terms of multiple sensors, an advanced adaptable platform is required.The system provides a research tool for pedestrian navigation, location and body motion analysis in an unobtrusive form factor that enables in situ data collections with minimal gait and posture impact.Testing and examples of applications of the NavCube are provided.

View Article: PubMed Central - PubMed

Affiliation: PLAN Group, Schulich School of Engineering, The University of Calgary, Calgary AB, Canada. ajmorris@ucalgary.ca

ABSTRACT
Navigation and location technologies are continually advancing, allowing ever higher accuracies and operation under ever more challenging conditions. The development of such technologies requires the rapid evaluation of a large number of sensors and related utilization strategies. The integration of Global Navigation Satellite Systems (GNSSs) such as the Global Positioning System (GPS) with accelerometers, gyros, barometers, magnetometers and other sensors is allowing for novel applications, but is hindered by the difficulties to test and compare integrated solutions using multiple sensor sets. In order to achieve compatibility and flexibility in terms of multiple sensors, an advanced adaptable platform is required. This paper describes the design and testing of the NavCube, a multi-sensor navigation, location and timing platform. The system provides a research tool for pedestrian navigation, location and body motion analysis in an unobtrusive form factor that enables in situ data collections with minimal gait and posture impact. Testing and examples of applications of the NavCube are provided.

No MeSH data available.