This paper presents a comprehensive framework for integrating BCI systems with mobile devices to enhance accessibility and practical applications. The proposed framework encompasses four core elements: data capture, preprocessing and feature ...

Individuals may spend three to five hours interacting with their smartphone screens daily. Many of them want to reduce their screen time but fail–despite the many digital wellbeing tools currently available. For example, digital self-control tools (DSCTs)...

Real-time low-light video enhancement on smartphones remains an open challenge due to hardware constraints such as limited sensor size and processing power. While night mode cameras have been introduced in smartphones to acquire high-quality ...

The broad usage of mobile devices nowadays, the sensitiveness of the information contained in them, and the shortcomings of current mobile user authentication methods are calling for novel, secure, and unobtrusive solutions to verify the users’ ...

This article presents a comprehensive analysis of the different tests proposed in the recent ChildCI framework, . proving its potential for generating a better understanding of children’s neuromotor and ...

• Proposal of over 100 global features related to motor and cognitive aspects.
• Usage of the largest and most diverse public dataset on the topic (ChildCIdb_v1).
• Results of over 93% accuracy for the children age group detection task.

For people with upper extremity motor impairments, interaction with mobile devices is challenging because it relies on the use of the touchscreen. Existing assistive solutions replace inaccessible touchscreen interactions with sequences of simpler ...$\mathrm{}$

This research empirically studies whether recommendation agents are as effective on newer, mobile devices (i.e., tablets, smartphones) as they are on older, stationary ones (i.e., desktop computers). We analyze clickstream data from Airbnb with a ...

• Increase in the number of recommended alternatives clicked (NRAC) affects purchase likelihood positively.
• NRAC by smartphone (desktop) users is smaller (larger) than that of tablet users.
• Recommendation agents are most effective on ...

Parcel lockers have become an increasingly prevalent last-mile delivery method. Yet, a recent study revealed its accessibility challenges to blind and low-vision people (BLV). Informed by the study, we designed FetchAid, a standalone intelligent mobile ...

During recent years, deep convolutional neural networks (CNNs) have become increasingly popular in sensor-based human activity recognition (HAR), due to powerful feature extraction capacity. However, the required high computational cost has ...

The growing number of mobile devices over the past few years brings a large amount of personal information, which needs to be properly protected. As a result, several mobile authentication methods have been developed. In particular, behavioural ...

• Touchscreen biometrics can enhance mobile security, being robust and user-friendly.
• We present SwipeFormer, a touchscreen biometric system based on Transformers.
• Experimental analysis of mobile swipe biometrics in unconstrained ...

Mobile forensics, particularly in the Android ecosystem, is a rapidly evolving field that demands continuous advancements to address the growing complexity and diversity of mobile devices. This article emphasizes the importance of developing ...

Display subsystems have become the predominant user interface on mobile devices, serving as both input and output interfaces. For a better quality of user experience (QoE), the display subsystem is expected to provide appropriate resolution and ...

• An in-depth analysis of state-of-the-art deep learning approaches for gait recognition on mobile devices.
• Main concepts of Transformers, including the key differences between popular architectures proposed in the literature.
• First ...

Biometrics on mobile devices has attracted a lot of attention in recent years as it is considered a user-friendly authentication method. This interest has also been motivated by the success of Deep Learning (DL). Architectures based on ...

Mobile devices have become increasingly prevalent in the context of consumers' offline search and shopping behavior by acting as personal decision support tools. This paper investigates the relationship between consumers' real-time location and ...

• Investigate interplay between consumers' real-time location and mobile search behavior
• Analyze search behavior by two location and search-specific measures related to consumers:
• Distance to the nearest retailer selling the product ...

Real-time image processing applications such as intelligent security and traffic management requires pattern recognition tasks, such face recognition, and license plate detection, to execute in mobile-embedded systems. These mobile-embedded ...

For security, economic, and efficiency reasons, many businesses supply mobile devices to employees to use both in the workplace and remotely, accompanied by policies governing their appropriate use. Extant research has shown that work-issued ...

Mobile devices such as smartphones and smartwatches are part of our everyday life, acquiring large amount of personal information that needs to be properly secured. Among the different authentication techniques, behavioural biometrics ...

Major threat for the user’s identity stem from selecting weak passwords or re-using the same password for different systems. Modern password managers are designed to address this human factor. But in most cases this is achieved at cost of using a ...

• A new yet effective lightweight shared multiple sub-encoders design for feature sharing and feature reusing across the encoder.

Recent studies show a significant growth in semantic segmentation. However, many semantic segmentation models still have a large number of parameters, making them unsuitable for resource-constrained embedded devices. To address this ...

Human activity recognition (HAR) using inertial motion data has gained a lot of momentum in recent years both in research and industrial applications. From the abstract perspective, this has been driven by the rapid dynamics for building ...