A wireless micro inertial measurement unit (IMU) [PDF]
In this paper, we present a wireless micro inertial measurement unit (IMU) with the smallest volume and weight requirements available at the moment. With a size of 18mm × 16mm × 4 mm, this IMU provides full control over the data of a three-axis accelerometer, a three-axis gyroscope, and a three-axis magnetometer.
Höflinger, Fabian +4 more
openaire +2 more sources
Learning Pose Estimation for UAV Autonomous Navigation and Landing Using Visual-Inertial Sensor Data [PDF]
In this work, we propose a robust network-in-the-loop control system for autonomous navigation and landing of an Unmanned-Aerial-Vehicle (UAV). To estimate the UAV’s absolute pose, we develop a deep neural network (DNN) architecture for visual-inertial ...
bateux +11 more
core +1 more source
Assessment of Breathing Parameters Using an Inertial Measurement Unit (IMU)-Based System [PDF]
Breathing frequency (fB) is an important vital sign that—if appropriately monitored—may help to predict clinical adverse events. Inertial sensors open the door to the development of low-cost, wearable, and easy-to-use breathing-monitoring systems. The present paper proposes a new posture-independent processing algorithm for breath-by-breath extraction ...
Ambra Cesareo +3 more
openaire +3 more sources
Automatic sensor-based detection and classification of climbing activities [PDF]
This article presents a method to automatically detect and classify climbing activities using inertial measurement units (IMUs) attached to the wrists, feet and pelvis of the climber. The IMUs record limb acceleration and angular velocity.
Boulanger, Jérémie +3 more
core +4 more sources
A Simple and Valid Method to Calculate Wheelchair Frame Rotation Using One Wheel-Mounted IMU
Wheelchair sports have been using Inertial Measurement Units (IMU) to measure mobility metrics during training, testing and competition. Presently, the most suitable solution to calculate wheelchair speed and frame rotation is the 3IMU method as there is
Marc Klimstra +8 more
doaj +1 more source
Trunk Inclination Estimate During the Sprint Start Using an Inertial Measurement Unit: A Validation Study [PDF]
The proper execution of the sprint start is crucial in determining the performance during a sprint race. In this respect, when moving from the crouch to the upright position, trunk kinematics is a key element.
BERGAMINI, Elena +5 more
core +4 more sources
CYCLOPS: A cyclists' orientation data acquisition system using RGB camera and inertial measurement units (IMU). [PDF]
This paper introduces CYCLOPS, an acquisition system developed to capture images and inertial measurement data of moving cyclists from a vehicle. The development of CYCLOPS addresses the need to acquire useful data for training machine learning models capable of predicting the motion intentions of cyclists on urban roads.
Arias-Correa M +6 more
europepmc +4 more sources
A wearable solution for accurate step detection based on the direct measurement of the inter-foot distance [PDF]
Accurate step detection is crucial for the estimation of gait spatio-temporal parameters. Although several step detection methods based on the use of inertial measurement units (IMUs) have been successfully proposed, they may not perform adequately when ...
Bertuletti, Stefano +2 more
core +2 more sources
Background Patient reported outcome measurement (PROMs) will not capture in detail the functional joint motion before and after total hip arthroplasty (THA). Therefore, methods more specifically aimed to analyse joint movements may be of interest.
Roland Zügner +5 more
doaj +1 more source
Are tibial angles measured with inertial sensors useful surrogates for frontal plane projection angles using 2-dimensional video analysis during single leg squat tasks? A reliability and agreement analysis in elite football (soccer) players [PDF]
During single leg squats (SLS), tibial angle (TA) quantification using inertial measurement units (IMU) may offer a practical alternative to frontal plane projection angle (FPPA) measurement using 2-dimensional (2D) video analysis.
Callaghan, MJ +5 more
core +3 more sources

