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Assessment of Real-World Running With Lab-Validated Algorithms Based on Foot-Worn Inertial Sensors

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Real-world speed estimation using single trunk IMU: methodological challenges for impaired gait patterns

Kamiar Aminian, Anisoara Ionescu, Abolfazl Soltani

Walking speed (WS) is recognized as an important dimension of functional health and a candidate endpoint for clinical trials. To be adopted as a powerful outcome measure in clinical assessment, WS should be estimated pervasively and accurately in the real- ...

IEEE2020

Optimal Stochastic Sensor Error Modeling based on Actual Impact on Quality of GNSS-INS Integrated Navigation

Jan Skaloud, Stéphane Guerrier, Mehran Khaghani

Proper modeling of stochastic errors in inertial sensors plays a crucial role in the achievable quality of GNSS-INS integration especially with low-cost inertial sensors. Generalized Method of Wavelet Moments (GMWM) can model the underlying process for suc ...

2019

Sensitivity to Time Delays in VDM-Based Navigation

Jan Skaloud, Gabriel François Laupré, Mehran Khaghani

A recently proposed navigation methodology for aerial platforms based on the vehicle dynamic model (VDM) has shown promising results in terms of navigation autonomy. Its practical realization requires that control inputs are related to the same absolute ti ...

2019

The use of a Bayesian filter (e.g., Kalman filter) for the fusion of information from satellite positioning and inertial navigation is a common approach in many applications, where the knowledge of position, velocity, and attitude in space are of great int ...

EPFL2019

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Gait speed is an important parameter to characterize people's daily mobility. For real-world speed measurement, inertial sensors or Global Navigation Satellite System (GNSS) can be used on wrist, possibly integrated in a wristwatch. However, power consumpt ...

2019

Pre-Impact Detection Algorithm to Identify Tripping Events Using Wearable Sensors

Silvestro Micera

This study aimed to investigate the performance of an updated version of our pre-impact detection algorithm parsing out the output of a set of Inertial Measurement Units (IMUs) placed on lower limbs and designed to recognize signs of lack of balance due to ...

2019

Wearable technology in stroke rehabilitation: towards improved diagnosis and treatment of upper-limb motor impairment

Friedhelm Christoph Hummel, Pablo Maceira Elvira, Traian Popa, Anne-Christine Schmid

Stroke is one of the main causes of long-term disability worldwide, placing a large burden on individuals and society. Rehabilitation after stroke consists of an iterative process involving assessments and specialized training, aspects often constrained by ...

2019

Wearable Sensors for Frequency-Multiplexed EIT and Multilead ECG Data Acquisition

Josias Basil Wacker, Fabian Braun, Michaël Rapin

This paper presents a wearable sensor architecture for frequency-multiplexed electrical impedance tomography (EIT) and synchronous multilead electrocardiogram (ECG) data acquisition. The system is based on a novel electronic sensing architecture, called co ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2019

This paper presents extensions and practical realization of a previously proposed novel approach to navigation and sensor integration for small unmanned aerial vehicles (UAV). The proposed approach employs vehicle dynamic model (VDM) as process model withi ...

2018

Vehicle Dynamic Model Based Navigation for Small UAVs

Mehran Khaghani

The dominant navigation system for small civilian UAVs today is based on integration of inertial navigation system (INS) and global navigation satellite system (GNSS). This strategy works well to navigate the UAV, as long as proper reception of GNSS signal ...

EPFL2018