Accenture Global Solutions Limited

Accenture Global Services Gmbh

Ben E Lamm

William Walter Hurley, Ii

Eric Schneider

Philip A Wheat

Matt Murray

Tyler Hively

Marc Boudria

Michael W Erwin

Eric Bee

Bartley S Gillan

Techniques are described for collecting sensor data associated with a wheelchair and, based on the sensor data, determining metric(s) for a user of the wheelchair. Sensor(s) attached to, or in proximity to, the wheelchair may collect sensor data describing the wheelchair and/or its component(s), such as location, velocity, acceleration, direction of movement, orientations (e.g., pitch, yaw, roll), angular velocity of wheels, angular acceleration of wheels, and so forth. The sensor data may be analyzed to determine (e.g., fitness) metrics such as a caloric burn rate, a metabolic burn rate, and/or power expenditure of the user while the user is employing the wheelchair to exercise or otherwise move. The metric(s) and/or sensor data may be presented to the user through a user interface on a smartphone, tablet computer, wearable computer, or other device, to enable the user to monitor fitness metric(s) during use of the wheelchair.

Wheelchair movement measurement and analysis

A video recording system for a head safety device includes a microcontroller and an accelerometer mounted in the head safety device. The accelerometer is coupled to the microcontroller. A plurality of camera modules are mounted on the head safety device and coupled to the microcontroller. The camera modules are positioned facing outward to obtain images at different angles of an environment surrounding the head safety device. The microcontroller receives data from the accelerometer and automatically initiates video recording with the camera modules when movement of the head safety device, as sensed using the accelerometer, reaches or exceeds a selected movement threshold.

Safety accessory with situational awareness and data retention

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Austin, TX, United States of America

Ben E Lamm