AIMC Topic: Acceleration
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Feasibility Study of Deep Neural Network for Heart Rate Estimation from Wearable Photoplethysmography and Acceleration Signals.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2019
Heart rate (HR) estimation using wearable reflectance-type photoplethysmographic (PPG) signals is challenging due to low signal-to-noise ratio (SNR). Especially during intensive exercise, motion artifacts (MAs) overwhelm PPG signals in an unpredictab...
Adaptive Continuous Integral-Sliding-Mode Controller for Wearable Robots: Application to an Upper Limb Exoskeleton.
IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Jun 1, 2019
This paper introduces an adaptive integral sliding mode controller for exoskeletons. The controller design is based on the hypothesis that only classical properties are known such as parameters' bounds, and all other functions are unknown. To ensure ...
A tailless aerial robotic flapper reveals that flies use torque coupling in rapid banked turns.
Science (New York, N.Y.)
Sep 14, 2018
Insects are among the most agile natural flyers. Hypotheses on their flight control cannot always be validated by experiments with animals or tethered robots. To this end, we developed a programmable and agile autonomous free-flying robot controlled ...
Principal component analysis can decrease neural networks performance for incipient falls detection: A preliminary study with hands and feet accelerations.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Aug 1, 2016
Fall-related accidents constitute a major problem for elderly people and a burden to the health-care national system. It is therefore important to design devices (e.g., accelerometers) and machine learning algorithms able to recognize incipient falls...
Applying neural network to VO2 estimation using 6-axis motion sensing data.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Aug 1, 2016
This paper focuses on oxygen consumption (VO2) estimation using 6-axis motion data (3-axis acceleration and 3-axis angular velocity) that are obtained from small motion sensors attached to people playing sports with different intensities. In order to...
Development of an excretion care support robot with human cooperative characteristics.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jan 1, 2015
To support care giving in an aging society with a shrinking population, various life support robots are being developed. In the authors' laboratory, an excretion care support robot (ECSR) with human cooperative characteristic has been developed to re...
Development and preliminary testing of an instrumented object for force analysis during grasping.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jan 1, 2015
This paper presents the design and realization of an instrumented object for force analysis during grasping. The object, with spherical shape, has been constructed with three contact areas in order to allow performing a tripod grasp. Force Sensing Re...
A correlative investigation of simulated occupant motion and accident report in a helicopter crash.
Aviation, space, and environmental medicine
Jan 1, 1996
BACKGROUND: In the late 1980's, an Army Apache helicopter crashed during a training mission, resulting in fatal injuries to the rear seat pilot and survivable injuries to the front seat copilot. U.S. Army investigators assessed the aircraft damage an...
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