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In football matches, players perform various actions such as running, walking, passing, trapping, and shooting. Analyzing these actions is crucial for players to assess their performance and strategize effectively. Currently, the standard method for ...

This paper addresses the critical task of gait cycle segmentation using short sequences from ear-worn IMUs, a practical and non-invasive approach for home-based monitoring and rehabilitation of patients with impaired motor function. While previous ...

This paper presents the Synchronisation Wand, an open-source hardware solution which can be used to synchronise multiple inertial measurement unit sensors (IMU) using their onboard magnetometers. The wand is based on commercial off-the-shelf components ...

Hearables are highly functional earphone-type wearables; however, existing input methods using stand-alone hearables are limited in the number of commands, and there is a need to extend device operation through hand gestures. In previous research on ...

The fifth edition of Sussex-Huawei Locomotion-Transportation (SHL) recognition challenge aims at determining the mode of locomotion and transportation of users using sensor-equipped devices. This recognition task relies on measurements captured from ...

Gestural interaction with freehands and while grasping an everyday object enables always-available input. To sense such gestures, minimal instrumentation of the user’s hand is desirable. However, the choice of an effective but minimal IMU layout remains ...

This paper presents a novel method to synchronise multiple IMU (inertial measurement units) devices using their onboard magnetometers. The method described uses an external electromagnetic pulse to create a known event measured by the magnetometer of ...

As the capacity for machines to extend human capabilities continues to grow, the communication channels used must also expand. Allowing machines to interpret nonverbal commands such as gestures can help make interactions more similar to interactions ...

With the growth of wearable devices, numerous health and smart building applications are enabled. As a result, many people wear multiple devices for different applications, such as fitness tracking. Being able to match devices' physical identity (e.g., ...

Machine Learning (ML) models are widely used to infer human activities. However, collecting data to train ML models in realworld often requires significant time and effort. In this paper, we suggest a novel data collection framework to leverage pre-...

In this work, we propose a novel sports referee training system based on wearable sensors and a real-time Official Referee Signal (ORS) segmentation/recognition method which can recognize 65 kinds basketball ORSs with the accuracy of 95.3%. A hybrid ...

A rich body of work has focused on motion tracking techniques using inertial sensors, namely accelerometers, gyroscopes, and magnetometers. Applications of these techniques are in indoor localization, gesture recognition, inventory tracking, vehicular ...

Serious games can improve the physical rehabilitation of patients with different conditions. By monitoring exercises and offering feedback, serious games promote the correct execution of exercises outside the clinic. Nevertheless, existing serious games ...

This project looks at using the Myo armband and machine learning techniques to detect irregularities when performing a vocational assembly task. A Lego car assembly task is performed while Myo data are collected, which include accelerometer, gyroscope, ...

Inertial Measurement Units (IMUs) embedded in commercial mobile devices are a good choice for continuous monitoring in healthcare domain due to their attractive form factor and low power consumption. We present improved and accurate sensing algorithms ...

Inertial Measurement Units (IMUs) embedded in commercial mobile devices are a good choice for continuous monitoring in healthcare domain due to their attractive form factor and low power consumption. We present improved and accurate sensing algorithms ...

Orientation data for biomechanical assessment of motion may be obtained from inertial measurement units (IMUs) through the use of a fusion algorithm estimating the orientation of the platform in a fixed and global reference frame from 3D inertial ...

We have designed an augmented reality (AR) game for children with cerebral palsy (CP) to perform home-based neurorehabilitation. A Myo armband detects electromyographic (EMG) signals and accelerometer data from the arm, and a trained classifier ...

We present GyroWand, a raycasting technique for 3D interactions in self-contained augmented reality (AR) head-mounted displays. Unlike traditional raycasting which requires absolute spatial and rotational tracking of a user's hand or controller to ...

In this paper we describe the design and evaluation of a novel, tangible user interface for interaction with sound, to be implemented in a museum setting. Our workinprogress is part of a larger concept for an installation prioritizing a collaborative, ...