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 ...

The use of wearable devices and motion sensors has had a significant impact on sports. In this study, we propose a method to improve rowing performance by analyzing 3-axis acceleration data from smartwatches worn by rowers. The goal is to enhance ...

This article presents the results of research on the development of a biometric system for identifying individuals based on their gait using smartphones. Experiments were conducted on a publicly available gait database of 13 individuals, ...

Accurate and high-speed object movement tracking systems often face significant challenges due to signal instability caused by the object’s movement and rotation. To address these issues, we present STABack, a novel object tracking system using ...

Missing sensor data in human activity recognition is an active field of research that is being targeted with generative models for synthetic data generation. In contrast to most previous approaches, we aim to generate data of a sensor exclusively from ...

The emergence of mobile technology presents creative approaches to healthcare. This study focuses on people suffering from wrist pain, as there is a lack of applications that cater to people experiencing wrist pain. Therefore, the study aimed to develop ...

Human Activity Recognition (HAR) is the process of identifying human activity states based on collected data, with applications in health monitoring, rehabilitation therapy, and smart homes. However, accurate recognition often necessitates the use of ...

Canine Assisted Interactions (CAI) are widely used to provide therapeutic benefits to human participants in various contexts (e.g. cancer-related fatigue, post-traumatic stress disorder treatment, child reading facilitation, etc.). Despite its ...

The realization of next-generation intelligent transportation services primarily depends on the rich data that could effectively capture the on-road and in-vehicle conditions in real time. Road safety being one of the most critical objectives for such ...

In recent years, more and more consumer earphones come equipped with inertial measurement units (IMUs). Using such sensors, past research has broadly explored earables for fitness applications, ranging from tracking higher-level workout activities to ...

The paper presents a proposed gait biometrics system using wearable sensors. The work carried out verified the possibility of building systems using motion sensors located on the right and left wrist. The biometric system presented used input data ...

Sleep is an essential part of human existence, as we are in this state for approximately a third of our lives. Sleep disorders are common conditions that can affect many aspects of life. Sleep disorders are diagnosed in special laboratories with a ...

The various activities of human movements have been discussed for several years, such as sports activities, daily life activities, and so on. Their detection and classification have given crucial information about a person's behaviour and health status. ...

Most existing voice-based user authentication systems mainly rely on microphones to capture the unique vocal characteristics of an individual, which makes these systems vulnerable to various acoustic attacks and suffer high-security risks. In this work, ...

This article studies how to detect and explain concept drift. Human activity recognition is used as a case study together with a online batch learning situation where the quality of the labels used in the model updating process starts to decrease. ...

The built-in loudspeakers of mobile devices (e.g., smartphones, smartwatches, and tablets) play significant roles in human-machine interaction, such as playing music, making phone calls, and enabling voice-based interaction. Prior studies have pointed ...

Time series is a type of dynamic data used in many applications. Time series speed may vary from milliseconds to years or decades. In past decade, rise in various sensor based technologies have made time series sensor data available easily and in ...

One of the most popular manufacturing techniques is milling. It can be used to make a variety of geometric components, such as flat grooves, surfaces, etc. The condition of the milling tool has a major impact on the quality of milling processes. Hence ...

An inversion table back stretching machine is an effective tool for alleviating back pain that is used to treat patients with chronic low back pain (CLBP). Using the inversion table back stretching machine can result in injuries, and it is not normally ...

Essential tremor (ET) and the tremor in Parkinson’s disease (PD) are the two most common pathological tremors with a certain overlap in the clinical presentation.

The ...