Embedded.com Tech Focus Newsletter (6-9-14): Integrating sensor fusion into embedded designs - Embedded.com

Embedded.com Tech Focus Newsletter (6-9-14): Integrating sensor fusion into embedded designs

June 09, 2014

Integrating sensor fusion into embedded designs

In the world of mobile platforms and wireless sensor-based embedded designs, new techniques for sensor fusion will be needed to collect data on the location and conditions of everything from smartphones to wearable consumer Internet of Things devices.

Sensor fusion enables sophisticated next-gen applications

The importance of sensor fusion in embedded systems employing increasing numbers of sensors.

Smartphone-based sensor fusion for improved vehicular navigation

A sensor fusion algorithm on a smartphone which combines GPS data with angular velocity information from the gyroscope sensors of the smartphone and an automobile's speed information from the vehicle’s CAN-Bus via a wireless (CAN-BT) adapter.

Sensor Fusion: Theory and Application

The objective of sensor fusion is to determine that the data from two or more sensors correspond to the same phenomenon. Before the Internet, the association between two or more sensors would only occur within a single well-defined system. With the Internet, we can now access the signals of several sensors on an ad hoc basis. This capability is useless, however, without some means to determine the interdependencies of the sensors.

Data Fusion improves the coverage of wireless sensor networks

Exploring the limits of wireless sensor network coverage based on data fusion models that fuse noisy measurements of multiple sensors and the scaling laws that govern the relationship between coverage, network density, and signal-to-noise ratio (SNR).

A sensor fusion method for smart phone orientation estimation

A technique for improving Android smartphone orientation estimation through the use of a DNRF (Drift & Noise Removal Filter) that fuses sensor information from the gyroscope, magnetometer and accelerometer to minimize the drift and noise in output orientation.

Dual-sensor fusion for indoor localization and tracking

The design of a wearable smart phone based camera that fuses data from wireless sensor networks , GPS, Bluetooth, and other modalities to provide accurate location positioning.

Sensor fusion brings situational awareness to health devices

A data-centric sensor fusion architecture is essential for building situationally-aware applications.

Smartphone-based sensor fusion for improved vehicular navigation

A sensor fusion algorithm on a smartphone which combines GPS data with angular velocity information from the gyroscope sensors of the smartphone and an automobile's speed information from the vehicle’s CAN-Bus via a wireless (CAN-BT) adapter.

Sensor fusion-based event detection in WSNs

A two-level sensor fusion-based event detection technique for wireless sensor networks that uses a fusion algorithm to gather information and reach a consensus among individual detection decisions made by sensor nodes.

A sensor fusion method for smart phone orientation estimation

A technique for improving Android smartphone orientation estimation through the use of a DNRF (Drift & Noise Removal Filter) that fuses sensor information from the gyroscope, magnetometer and accelerometer to minimize the drift and noise in output orientation.

3D Hand Gesture Recognition Based on Sensor Fusion

The design of a gesture recognition system that combines dynamic hand and arm gesture recognition based on the use of a depth sensor with static hand gesture recognition based on the HD color.


Educational Resources

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AdaCore University – Learn to Program in Ada

Fundamentals of Signal and Power Isolation

Fundamentals of Digital Oscilloscope Usage

Automating Test Case Selection and Execution for Chipset Testing



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