Security Challenges for Designing Wearable and IoT Solutions

The purpose of this study is to explore the main research hotspots in the design of wearable interactive devices and to explore the new trend of future development in light of the current research hotspots. The method is to use the information and literature on wearable interactive device design collected by Web of Science as the main data source, and use VOSviewer and CiteSpace to map the scientific knowledge of the literature, including the distribution of years and outputs, countries, research institutions, and keyword clustering, and then visualize and analyze them. The results show that the number of literature within the search range is on the rise overall, with China, the United States, and other countries in the leading position of research. The research hotspots mainly focus on the research of intelligent medical and human-computer interaction experience in wearable interaction systems, the research of intelligent device performance and core components, the research of material properties applicable to wearable devices, and the research of mechanical devices and functions in wearable device design. It is concluded that wearable interactive device design research has a strong interdisciplinary nature, and the future research focus will concentrate on the direction of intelligent interaction, user experience, sustainable material application, and device performance improvement of wearable devices. The future industry trend may be toward the direction of intelligent health detection, multi-device interconnection and interactive experience, sustainable and ecosystem integration, artificial intelligence analysis, cross-border integration, and innovation. Summarizing the current status and trends of research, we discuss the future development trend of wearable interactive device design from the strategy of natural interaction attributes of human-machine and human-ecology.

BackgroundThe COVID-19 pandemic has intensified mental health issues globally, highlighting the urgent need for remote mental health monitoring. Digital phenotyping using smart devices has emerged as a promising approach, but it remains unclear which features are essential for predicting depression and anxiety.ObjectiveThis study aimed to identify the types of features collected through smart packages—integrated systems combining smartphones with wearable devices such as Actiwatches, smart bands, and smartwatches—and to determine which features should be considered essential for mental health monitoring based on the type of device used.MethodsA systematic review was conducted. Searches were performed across Web of Science, PubMed, and Scopus on February 5, 2025. Inclusion criteria comprised quantitative studies involving adults (≥19 years) using smart devices to predict depression or anxiety based on passive data collection. Studies focusing solely on smartphones or qualitative designs were excluded. Risk of bias was assessed using the Mixed Methods Appraisal Tool and the Quality Criteria Checklist. Data were synthesized descriptively, and the relative contribution of each feature was further assessed by calculating coverage (proportion of studies using a feature) and importance among used (proportion identifying it as important when used). These metrics were visualized in quadrant-based scatter plots to identify consistently important features across devices.ResultsFrom 1382 records, 22 studies across 11 countries were included. The overall synthesis identified a core feature package—accelerometer, steps, heart rate (HR), and sleep. Device-specific analyses revealed further nuances: in Actiwatch studies, accelerometer and activity were consistently important, but sleep features were rarely examined. In smart band studies, HR, steps, sleep, and phone usage were essential, while GPS, electrodermal activity (EDA), and skin temperature showed high importance when used, suggesting opportunities for broader adoption. In smartwatch studies, sleep and HR emerged as core features, whereas steps and accelerometer were widely used but often not identified as important.ConclusionsThis systematic review identified a core feature package comprising accelerometer, steps, HR, and sleep that consistently contributes to mood disorder prediction across devices. At the same time, device-specific differences were observed: Actiwatch studies mainly emphasized accelerometer and activity but underused sleep features; smart bands highlighted HR, steps, sleep, and phone usage, with EDA, skin temperature, and GPS showing additional promise; and smartwatches most reliably leveraged sleep and HR, while steps and accelerometer were widely used yet less effective. These findings suggest that while a shared core set of features exists, optimizing digital phenotyping requires tailoring feature selection to the characteristics of each device type. To advance this field, improving data accessibility, particularly in smartwatch ecosystems, and adopting standardized reporting frameworks will be essential to enhance comparability, reproducibility, and future meta-analytic integration.

Miniaturization of computer hardware and the demand for network capable devices has resulted in the emergence of a new class of technology called wearable computing. Wearable devices have many purposes like lifestyle support, health monitoring, fitness monitoring, entertainment, industrial uses, and gaming. Wearable devices are hurriedly being marketed in an attempt to capture an emerging market. Owing to this, some devices do not adequately address the need for security. To enable virtualization and connectivity wearable devices sense and transmit data, therefore it is essential that the device, its data and the user are protected. In this paper the use of novel Integrated Circuit Metric (ICMetric) technology for the provision of security in wearable devices has been suggested. ICMetric technology uses the features of a device to generate an identification which is then used for the provision of cryptographic services. This paper explores how a device ICMetric can be generated by using the accelerometer and gyroscope sensor. Since wearable devices often operate in a group setting the work also focuses on generating a group identification which is then used to deliver services like authentication, confidentiality, secure admission and symmetric key generation. Experiment and simulation results prove that the scheme offers high levels of security without compromising on resource demands.

The Internet of Things (IoT) employs smart devices as its building blocks for developing a ubiquitous communication framework. It thus supports a wide variety of application domains, including public safety, healthcare, education, and public transportation. While offering a novel communication paradigm, IoT finds its requirements closely connected to the security issues. The role of security following the fact that a new type of devices known as wearables constitute an emerging area. This paper delivers an applicability study of the state-of-the-art cryptographic primitives for wearable IoT devices, including the pairing-based cryptography. Pairing-based schemes are well-recognized as fundamental enablers for many advanced cryptographic applications, such as privacy protection and identity-based encryption. To deliver a comprehensive view on the computational power of modern wearable devices (smart phones, watches, and embedded devices), we perform an evaluation of a variety of them utilizing bilinear pairing for real-time communication. In order to deliver a complete picture, the obtained bilinear pairing results are complemented with performance figures for classical cryptography (such as block ciphers, digital signatures, and hash functions). Our findings show that wearable devices of today have the needed potential to efficiently operate with cryptographic primitives in real time. Therefore, we believe that the data provided during this research would shed light on what devices are more suitable for certain cryptographic operations.

Due to the lack of security and safety measures, the crime rate on child abuse has been increased at an unprecedented rate in India. Our propose model will enhance the security and safety especially for girl children in India. In this connection smart band which comprises multiple sensors and programmable hardware. Smart band which communicates with smart phone through wireless communication. The application of a smart band has been developed and installed to smart phone with required quantities & smart band generates signal is send out to smart phone. Track the exact location with help of GPS and the automatic S MS service is done by GSM and screaming alarm which are already preprogrammed, whenever we receive emergency signal, smart phone which will automatically send "help me & save me, I am in danger situation" message along with location send to nearest police station/patrol/control room and also send the message to prime contacts which you saved and also send alert sms to who are all using this application in nearest circumstance. And the smart band will generate electric shocks up to 12 V, and then get started screaming alarm asking help.

Bio-inspired electrochromic skin based on tungsten oxide

PurposeCommercial entities (e.g. health and life insurance, airlines and supermarkets) in different countries have recently begun to introduce wearable technology as part of the consumer journey and as a means of enhancing the business value chain. While a firm’s decision to adopt such new technologies as wearable devices is often based on financial factors such as return on investment, costs and impact on profits, consumers may hold a different attitude toward the value of using smart wearables and sharing their personal data as part of their business-client relationships. The purpose of this paper is to investigate consumer perceptions of and reactions to persuaded self-tracking (PST) – a practice in which businesses actively encourage consumers to monitor, collect and share personal biometric data through wearable technologies in exchange for personalized incentives and rewards.Design/methodology/approachUsing a qualitative research approach and a purposeful sampling method, the authors conducted personal in-depth interviews with 24 consumers (both users and non-users of wearable devices). Interviews were recorded and transcribed, resulting in 600 pages of transcripts comprising more than 203,000 words. Data coding and analysis were facilitated by using NVivo.FindingsConsumers’ assessment of PST is based on perceived value-in-use, privacy/security concerns and perceived fairness/justice, resulting in four types of reactions to adopt or use PST (embracing, considering, debating and avoiding). Specifically, the authors identified two individual determinants (intrinsic motivation and extrinsic motivation) and four firm-related determinants (design of wearable device, assurance, transparency and controllability) that influence consumer perceptions of PST.Research limitations/implicationsResults of this study have implications for both vendors of wearable devices and firms trying to leverage smart wearables in their value chains. Identifying consumers’ perceptions, as well as barriers and enablers of acceptance, will help firms to more effectively design and develop wearable device-based services, thus gaining consumer support for using fitness trackers. The primary limitation of the study is that using a thematic analysis method diminishes the generalizability of our findings.Originality/valueThis study addresses an under-researched area: the integration of wearable technologies in a firm’s value chain through the lens of the consumers. This study is one of the first, according to authors’ knowledge, to investigate consumer perceptions of PST.

A lightweight and privacy-preserving mutual authentication scheme for wearable devices assisted by cloud server

Interacting with the Web of Things

Wearable device is a collective wearable device that compromises big data and intelligent sensor technology. It has become the focus of the public under the circumstance social economy is developing rapidly, the internet is widely spreading, and intelligent sensor technology is developing overall. Nowadays, society has given space to express one’s distinguishing feature for everyone to the most extent. Personalized pursue of sentiment has become the characteristic of the epoch. However, the acceleration of social pace has already made social pressure spread among individuals and groups in an unprecedented speed. How to meet personal needs, relieve stress, make happiness, and create value, has become the question in need of an urgent solution when designing wearable devices. This paper discusses the design of wearable devices from three aspects: form and appearance, which includes the shape, scale, material and color, classifications, graphic elements and typography of the visual interface, and the man-machine interactions such as operational procedure, input means, and feedback experience.KeywordsWearable devicesDesign of form and appearanceDesign of visual interfaceDesign of man-machine interaction

Wearable medical device has been a resurgence of interest thanks to the development of technology and propagation of smart phone in recent years. Various types of wearable devices have been introduced and available in market. Capacitive coupled electrode which measures electrocardiogram over cloth is able to be applied wearable device. In previous approaches of capacitive electrode, they need proper pressure for stable contact of the electrode to body surface. However, wearable device that gives pressure on body surface is not suitable for long-term monitoring. In this study, we proposed adhesive polyurethane-based capacitive electrode for patch-type wearable electrocardiogram (ECG) monitoring device. Self-adhesive polyurethane make the electrode and whole system be adhered to the surface of skin without any pressure. The patch-type system is consisted of analog filter, analog-to-digital converter and wireless transmission module and designed to be attached on the body as a patch. To validate the feasibility of the developed system, we measured ECG signal in stable and active state and extracted heart rate. Therefore, we observed skin response after long-term attachment for biocompatibility of the adhesive polyurethane and adhesive strength of it. The result shows the possibility of applying the developed system for ECG monitoring in real-life.

In recent years, the proportion of elderly population in various countries has gradually increased. Increasing with age, it can entail illness. When these diseases are sudden, the elderly often die because there is no immediate treatment. Elderly care has become an important issue. According to this issue, we want to monitor the physiological data of the elderly, such as heartbeat, blood pressure, etc., through wearable devices. Once an abnormal condition is detected, the wearable device can be used to immediately request treatment from a nearby clinic or hospital. In order to improve the network quality of this service, we use the architecture of the mobile edge computing. The mobile edge computing provides features such as immediacy, low latency, proximity etc. However, the process of data transmission on the mobile edge computing has the risk of being stolen and identity authentication is also an important issue. Therefore, we propose a secure protocol based on cryptography to protect personal information with lightweight authentication. The proposed scheme aims to achieve mutual authentication, non-repudiation, integrity, user privacy, and defend against known attacks.

Obstructive Sleep Apnea (OSA) has been proven to increase the risk of high blood pressure, heart attack, stroke, obesity, and diabetes. If people would like to know whether they are suffering from this sleep disorder, they need to go to particular hospital with which a sleep center that could perform polysomnography (PSG); however, for most people, this is not convenient. Consequently, the goal of this study is to develop a convenient, lower priced, and easy-to-use home-based sleep monitoring system. The researchers have developed the "Sleep Healthcare Management System" for OSA patients and healthcare providers. It combines smartphone and wearable devices that can perform real-time sleep monitoring. Healthcare providers could apply their professional knowledge to provide customized feedback via a web application. When the patient is diagnosed with an abnormal sleep health condition, healthcare providers may be able to provide appropriate and timely care.

Wearable devices have made it possible for health providers to monitor a patient’s health remotely using actuators, sensors and other mobile communication devices. Internet of Things for Medical Devices is poised to revolutionize the functioning of the healthcare industry by providing an environment where the patient data is transmitted via a gateway onto a secure cloud based platforms for storage, aggregation and analytics. This paper proposes new set of wearable devices - a smart neck band, smart wrist band and a pair of smart socks - to continuously monitor the condition of diabetic patients. These devices consist of different sensors working in tandem form a network that reports food intake, heart rate, skin moisture, ambient temperature, walking patterns and weight gain/loss. The devices with the aid of controllers send all the sensor values as a packet via Bluetooth to the Mobile App. With the help of Machine Learning algorithm, we have predicted the change in patient status and alert them.

Water is a ubiquitous substance in everyday life and has been found in many cultures as a game medium. With advances in digital technology and computer-aided design, there is a great potential for water games which can create new interactive experiences for players. In this paper, we take an interest in digital games with physical water and propose AquaBot an interactive water game system. It includes an underwater robot and a wearable wristband. The robot can change existing state such as light, color, and movement, based on its interaction with player and environment. The wearable device is used to control and interact with the robot. We test AquaBot system through two interactive scenarios, the results show that users’ feedback is positive and many of them are willing to experience in future water play. In addition, we discuss design factors of interaction with underwater robot from water environment, human and device. The intent of this paper is to inspire other researchers to explore and study digital water play and interaction with underwater robot.