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Presents information on the 2020 IEEE Brain Data Bank Challenge.

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Reports on the changing of the Consumer Electronics Society to the Changing Technology Society as of August 16, 2020.

Presents the introductory editorial for this issue of the publication.

Computer-aided diagnosis is a fast-developing area in medical practice and relies on the appropriate preprocessing of images from two dominant acquisition technologies, analog or film-based, and digital. Preprocessing consists of intensity equalization and segmentation of various objects in images. Here, we propose a methodology for the extraction of masks from manually segmented mammograms using affordable

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As the COVID-19 pandemic has gripped nation states around the world, technological fixes based on smartphone solutions have been proposed as a means to mitigate the risk posed to humans, prevent further economic loss, and overcome societal and business challenges. This article provides an account of the learning from Singapore and Australian implementations of TraceTogether.

The focus of this paper is on examining the role of Google and Apple in proposed smartphone-centric contact tracing capabilities in response to the novel coronavirus COVID-19.

The articles in this special section examine machine learning (ML) for end consumers. ML is a discipline that grew out of artificial intelligence (AI). At a minimum, an intelligent agent needs to perceive the environment around it, deliberate, and take the best course of actions to maximize some actual or estimated performance measures. ML was originally a trait of AI that concerned training intelligent

The combination of machine learning with healthcare services is emerging. However, when machine learning functions are executed on resource-constrained mobile consumer devices, the computing overhead will increase, and the user experience will deteriorate. In essence, the existing approaches delegate such tasks to a central cloud data center. However, data processing on remote cloud servers results

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Presents the table of contents for this issue of the publication.

Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.

Presents the introductory editorial for this issue of the publication.

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Presents the recipients of Consumer Electronics awards in 2020.

Reports on old issues of the IEEE Transactions on Consumer Electroincs that have been donated to the IEEE History Center.

Presents information on the Young Professionals Event at GCCE 2019.

The need to recognize long-term dependencies in sequential data, such as video streams, has made long short-term memory (LSTM) networks a prominent artificial intelligence model for many emerging applications. However, the high computational and memory demands of LSTMs introduce challenges in their deployment on latency-critical systems such as self-driving cars, which are equipped with limited computational

The transition of transportation sector from Internal Combustion Engines (ICE) to Electric Vehicles (EVs) has raised many concerns about their users which mainly include locating a suitable charging station for such vehicles. Presently, human intelligence-based methods are being used for the purpose. However, the development of Smart Station Search Assistance (S$^{3}$A) system is an innovative step

Distributed systems disseminate emergent behaviors across an interconnected group of lightweight agents. The SHARKS protocol (Secure, Heterogeneous, Autonomous, and Rotational Knowledge for Swarms) allows for a robotic swarm to encircle/ensphere a target. Motivated by security and resiliency, the SHARKS protocol addresses traditional vulnerabilities without creating a central point of vulnerability

Sustainable urban mobility and traffic congestion are the key challenges in a smart city. Nevertheless, a sustainable mobility approach such as real-time ridesharing as a solution is likely to fail, if not integrated with actions aimed at increasing the awareness of citizens, encouragement through incentives and influencing their behavioral change. This article analyzes the possibility of quantifying

This article introduces adversarial attack, a recently-unveiled security threat to consumer electronics, especially those utilizing machine learning techniques. We start with the fundamental knowledge including what are adversarial examples, how to realize such attacks, and common defense methods. Adversarial training enhances models’ resilience to adversarial attacks by taking both regular and adversarial

With the rapid development and application of information technology, blockchain technology (BT) has become an important means to promote the integration of the real economy and the digital economy. BT reached a certain level of development for application in asset transactions, finance, and traceability. However, existing technology provides no reasonable trading method and application framework for

Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers.

The latest and upcoming mobile application processors, embedded in a myriad of consumer devices, are typically implemented as heterogeneous multiprocessor system-on-chips, comprised of various processing engines such as general-purpose cores with differing characteristics, GPUs, DSPs, nonprogrammable accelerators, and reconfigurable computing devices. The heterogeneity allows application kernels with

Health care platforms rapidly shift toward the ICT-based solutions. In this context, a wide range of consumer electronics technologies come into play ranging from robotics, embedded systems, sensors, and communication infrastructures. Driven by such observations, the H2020 RADIO project set forward a service-oriented, easily expandable design paradigm that emphasizes on how heterogenous commercial

POINT OF VIEW is everything. It is called architecture. We need to shift our focus from the mechanics of networking to building applications that “just work” without worry about the network. Traditionally, we think of connectivity in terms of the network or networking. The power of the Internet comes from our ability to ignore the network and focus on the relationships between the end points. Today

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The articles in this special section focus on intelligent automobiles. The automotive industry is is experiencing disruptive changes at all levels—from design, and production, to community and business models. A previously rigid and very closed business environment is forced to open and embrace new methods to survive. In particular, it has become clear that a previously strongly deterministic approach

Vision-only systems are currently very popular for use in autonomous driving systems and advanced driver-assistance systems. These systems operate by using input images from a camera and no other sensors. One of the tasks these systems needs to perform is the detection and understanding of traffic lights in a traffic environment, by localizing all relevant traffic lights in an image received from an

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Modern transportation vehicles (e.g., cars and airplanes) represent a seamless fusion of safety-critical and consumer electronics systems. In order to save space inside a vehicle, implemented network infrastructure should be compact, and thus all data (critical and noncritical) should be ideally transmitted through a single physical network. The TTEthernet represents a great candidate to support aforementioned

This article presents one experience with the design and implementation of a consumer electronics (CE) software module using automotive software process improvement and capability determination (A-SPICE) methodology. Electronic program guide (EPG) engine software module is a very stable, configurable product that ensures high performance and satisfies different television standards. It is designed

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Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers.

Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers.

COVID-19 (Corona Virus Disease 2019) is a pandemic, which has been spreading exponentially around the globe. Many countries adopted stay-at-home or lockdown policies to control its spreading. However, prolonged stay-at-home may cause worse effects like economical crises, unemployment, food scarcity, and mental health problems of individuals. This article presents a smart consumer electronics solution

The last 4 years of IEEE Brain exploratory events in the form of hackathon, challenge or competition, regarding brain signal datasets have covered brain computer interface and brain data bank processing incorporating neural network /AI modeling. These exploratory efforts are analyzed from investigations of individual EEG profiles, multi-user and multi-modal physiological signal interactions. Some advancements

Electromyogram (EMG) signals have attracted much attention and have been applied widely. EMG signals have been used to evaluate the functional status of skeletal muscles. The commercial EMG acquisition systems are costly; so many researchers have provided low-cost solutions. Although the wireless acquisition systems are realized, the transmission speed is not sufficient for high-sampling and multichannel

Unhealthy life habits are associated with a large number of chronic conditions in our modern lifestyle. Many commercialized wearable solutions have already been developed for monitoring and prevention purposes, while recent design efforts aim for more user-friendly and reliable solutions. In this context, due to the increased periods of sitting at work or home, improper sitting posture is related to

Stress may be defined as the reaction of the body to regulate itself to changes within the environment through mental, physical, or emotional responses. Recurrent episodes of acute stress can disturb the physical and mental stability of a person. This subsequently can have a negative effect on work performance and in the long term can increase the risk of physiological disorders like hypertension and

Blood pressure is an important measure for monitoring hypertension and other cardiac diseases. Learned societies recommend following specific guidelines when measuring it. With the growing market of connected sensors, also known as the Internet of Things, the general public can be guided in performing a blood pressure measurement in compliance with international recommendations. In this article, we

An introduction to Industry Connections (IC) 3D Body Processing Working Group. The group's focus is on 3D body processing technologies.

User generated content in social networks has become a rich source of information into health conditions. This information is not only discussed privately on social networks by the users, but is increasingly publicly given out. This article analyzes the health condition mentions in tweets. Since health mentions can be used in different contexts, whether as a joke, in a news article link, or a genuine

Efficient image/video storage and transmission on mobile devices is becoming today an important challenge, since smartphones have become the most popular image acquisition devices, progressively replacing traditional cameras. However, most of the time, the acquired pictures are displayed on small screens and for a limited time. In order to manage this kind of oversized (with respect to the usage) data