Fitness Devices Research Articles

StepFit-18K: Improving Irritable Bowel Syndrome (IBS) Symptoms with a Simple, Structured Walking Intervention.

Background: Irritable Bowel Syndrome (IBS) is a chronic functional gastrointestinal (GI) disorder characterized by abdominal pain, altered bowel habits, and bloating, affecting approximately 10.1% of the global population. While current treatments emphasize dietary modifications and symptom management, emerging evidence suggests that physical activity (PA) may help alleviate IBS symptoms. This study evaluated the effects of a structured walking program, "StepFit-18K", on IBS symptom relief. Methods: A total of 106 participants (68 females and 38 males) completed the 12-week intervention, which consisted of 18,000 additional steps per week (6000 extra steps on three days per week) tracked via fitness devices. The program emphasized step count, ease of adoption, and social support through walking groups. Results: As assessed by validated questionnaires, significant reductions in GI symptoms were observed. The IBS Symptom Severity Score (IBS-SSS) decreased from 118.30 ± 98.73 to 74.46 ± 74.93, with a delta score of -43.84%, highlighting bloating as the most improved symptom. No clinically significant changes were observed in anthropometric or biochemical markers. Conclusions: StepFit-18K is a simple, accessible, and effective form of physical activity that has demonstrated therapeutic benefits for IBS symptoms. This offers an additional application beyond its well-established role in preventing cardiovascular diseases.

The provenance of Apple Health data: A timeline of update history

Fitness tracking smart watches are becoming more prevalent in investigations and the need to understand and document their forensic potential and limitations is important for practitioners and researchers. Such fitness devices have undergone several hardware and software upgrades, changing the way they operate and evolving as more sophisticated pieces of technology. One example is the Apple Watch, working in conjunction with the Apple iPhone, to measure and record a vast amount of health information in the Apple Health database, healthdb_secure.sqlite. Over time, an end user will update their devices, but their health data, uniquely, carries over from one device to the next. In this paper, we investigate and analyse the hardware and software provenance of a real 5+ year Apple Health dataset to determine changes, patterns and anomalies over time. This provenance investigation provides insights in the form of (1) a timeline, representing the dataset's history of device and firmware updates that can be used in the context of investigation validation, (2) anomaly detection and, (3) insights into cyber hygiene. Analysis of the non-health data recorded in the health database arguably provides just as much insightful information as the health data itself.

The Role of Wearable Fitness Devices in Predicting Surgical Outcomes.

The Role of Wearable Fitness Devices in Predicting Surgical Outcomes.

Physiological presentation and risk factors of long COVID in the UK using smartphones and wearable devices: a longitudinal, citizen science, case–control study

The emergence of long COVID as a COVID-19 sequela was largely syndromic in characterisation. Digital health technologies such as wearable devices open the possibility to study this condition with passive, objective data in addition to self-reported symptoms. We aimed to quantify the prevalence and severity of symptoms across collected mobile health metrics over 12 weeks following COVID-19 diagnosis and to identify risk factors for the development of post-COVID-19 condition (also known as long COVID). The Covid Collab study was a longitudinal, self-enrolled, community, case-control study. We recruited participants from the UK through a smartphone app, media publications, and promotion within the Fitbit app between Aug 28, 2020, and May 31, 2021. Adults (aged ≥18 years) who reported a COVID-19 diagnosis with a positive antigen or PCR test before Feb 1, 2022, were eligible for inclusion. We compared a cohort of 1200 patients who tested positive for COVID-19 with a cohort of 3600 sex-matched and age-matched controls without a COVID-19 diagnosis. Participants could provide information on COVID-19 symptoms and mental health through self-reported questionnaires (active data) and commercial wearable fitness devices (passive data). Data were compared between cohorts at three periods following diagnosis: acute COVID-19 (0-4 weeks), ongoing COVID-19 (4-12 weeks), and post-COVID-19 (12-16 weeks). We assessed sociodemographic and mobile health risk factors for the development of long COVID (defined as either a persistent change in a physiological signal or self-reported symptoms for ≥12 weeks after COVID-19 diagnosis). By Aug 1, 2022, 17 667 participants had enrolled into the study, of whom 1200 (6·8%) cases and 3600 (20·4%) controls were included in the analyses. Compared with baseline (65 beats per min), resting heart rate increased significantly during the acute (0·47 beats per min; odds ratio [OR] 1·06 [95% CI 1·03-1·09]; p<0·0001), ongoing (0·99 beats per min; 1·11 [1·08-1·14]; p<0·0001), and post-COVID-19 (0·52 beats per min; 1·04 [1·02-1·07]; p=0·0017) phases. An increased level of historical activity in the period from 24 months to 6 months preceding COVID-19 diagnosis was protective against long COVID (coefficient -0·017 [95% CI -0·030 to -0·003]; p=0·015). Depressive symptoms were persistently elevated following COVID-19 (OR 1·03 [95% CI 1·01-1·06]; p=0·0033) and were a potential risk factor for developing long COVID (1·14 [1·07-1·22]; p<0·0001). Mobile health technologies and commercial wearable devices might prove to be a useful resource for tracking recovery from COVID-19 and the prevalence of its long-term sequelae, as well as representing an abundant source of historical data. Mental wellbeing can be impacted negatively for an extended period following COVID-19. National Institute for Health and Care Research (NIHR), NIHR Maudsley Biomedical Research Centre, UK Research and Innovation, and Medical Research Council.

Deep learning-assisted flexible piezoresistive sensor with liquid-phase reduced metal electrodes for fitness movement recognition and correction

Flexibility and wearability in electronic devices gain prominence with the rise of national fitness campaigns. Among them, piezoresistive sensors stand out for their ability to accurately monitor health signals due to their high sensitivity. However, conventional metal nanoparticle ink electrodes face issues like peeling, chemical instability, and substrate limitations. This study introduces a novel method for fabricating high-performance flexible piezoresistive sensors using liquid-phase reduced metal electrodes. Integration of porous polydimethylsiloxane (PDMS) substrates with highly conductive interdigital silver electrodes (1.6 × 10−6 Ω·m) addresses conventional electrode shortcomings, offering permeability, flexibility, and outstanding conductivity. Incorporation of a graphene (GR)/carbon nanotube (CNT)/Ecoflex composite enhances sensor piezoresistive sensing capabilities, with features including high sensitivity (3.57 KPa−1), rapid response time (58 ms/72 ms), and excellent cycle stability (>10000 cycles). The sensor finds utility in various applications, including human physiological signal monitoring, pressure array recognition, and handwriting recognition. Additionally, with deep learning techniques, the system achieves accurate recognition (99.25 %) and correction (98.75 %) of diverse fitness movements, aiming to promote safer exercise practices, enhance training efficiency, and advance intelligent wearable fitness devices.

Modelling the significance of value-belief-norm framework to predict mass adoption potentials of internet of things-enabled wearable fitness devices

Self-health monitoring technologies have become increasingly popular in averting unanticipated health complications. However, the adoption rate of such technologies in developing countries is surprisingly low. Furthermore, empirical studies on the application of the value-belief-norm (VBN) model to elucidate intention to use IoT-enabled wearable fitness devices (IoT-enabled WFDs) are scarce. This study aimed to expand the VBN model by integrating health values, health consciousness, health knowledge-seeking, and social norms as influencing constructs. The proposed holistic framework was empirically tested to examine these constructs on users' decision-making process of adopting IoT-enabled WFDs. A web-based survey involving 866 adults in China aged 18–30 years was conducted. The gathered data were analysed using partial least squares-structural equation modeling. The results revealed the significant influence of health consciousness and health knowledge-seeking on personal health beliefs, as well as the favourable impact of personal health beliefs on personal norms and awareness of consequences. The results further demonstrated the substantial influence of awareness of consequences and ascription of responsibilities on personal norms. Besides that, personal norms and societal norms were found to have strong influence on the intention to adopt IoT-enabled WFDs, which was revealed to have significant influence on the actual usage. This study's findings offer novel theoretical insights on the behavioural characteristics of adopting IoT-enabled WFDs and serve as a practical guideline for industry experts and marketers to establish appropriate marketing strategies to support the IoT-enabled wearable sector. The findings also benefit policymakers in their efforts of developing strategies that emphasise the unique benefits of self-healthcare monitoring to encourage active lifestyle and decrease obesity and overweight-related health risks.

Flexible wearable piezoresistive physical sensors with photothermal conversion and self-cleaning functions for human motion monitoring.

Flexible wearable sensors can mimic the sensing ability of the skin and transform deformation stimuli into monitorable electrical signals, making them favorable in the fields of personalized healthcare, human motion monitoring, and remote monitoring systems. Here, an innovative piezoresistive physical sensor based on fluorine-free superhydrophobic dodecyltrimethoxysilane/polypyrrole/carbon nanotube (DTMS/PPy/CNT) cotton fabrics (DPC-CFs) was assembled via an environmentally safe and simple dip-coating method. The flexible wearable sensor exhibits self-cleaning capability (high water contact angle of 158.3°), good electrical conductivity (45.43 S m-1), photo-thermal conversion (surface temperature up to 94.8 °C), rapid response/recovery time (60 ms/50 ms), and excellent stability (>2400 cycles), and was successfully applied to dynamic monitoring of a series of human activities such as wrist pulse, voice recognition, and finger bending. Furthermore, the development of the superhydrophobic piezoresistive physical sensor derived from biodegradable cotton fabrics means an important step forward in the evolution of wearable sensors, which not only provide better coverage of three-dimensional irregular surfaces to capture mechanical stimulation signals but also demonstrate better comfort, flexibility and versatility. It is foreseen that such sensors, which are fabricated by utilizing abundant renewable and biodegradable green raw materials, have a broad application prospect in the next generation of biomedical systems, fitness, and human-computer interactive devices.

Analysis of Global Health System Readiness in Facing the Global Health Crisis: Lessons from the COVID-19 Pandemic and Strategies to Increase Resilience

The international fitness landscape has been substantially impacted with the useful resource of the emergence of exceptional challenges, with the COVID-19 pandemic serving as a paradigmatic crisis. This research seeks to behavior a whole evaluation of the readiness of the global fitness device in responding to such worldwide health crises. Drawing insights from the training observed out sooner or later of the COVID-19 pandemic, the have a study targets to come to be privy to strengths, weaknesses, and gaps inside the current international fitness infrastructure. Furthermore, the research will find out and advise strategies to decorate the resilience of the global fitness device, making sure a more effective and coordinated reaction to destiny fitness emergencies. By inspecting the intricacies of preparedness, response mechanisms, and collaborative efforts at the global degree, this observe contributes precious insights to the continuing discourse on strengthening worldwide health governance and resilience inside the face of evolving fitness annoying conditions.

Mild matters: trial learnings and importance of community engagement in research for early identified bilateral mild hearing loss.

Early identification of mild hearing loss has resulted in early hearing amplification without adequate evidence of effectiveness. This paper describes learnings from a pilot trial, combined with a qualitative study, to highlight the importance of community engagement in designing research studies to determine whether early amplification benefits young children with bilateral mild hearing loss. PART 1 of the study is a proof-of-concept non-blinded multi-centre randomised controlled trial (RCT) of hearing device fitting vs. no fitting aimed to gather preliminary data and determine its acceptability/feasibility in children <2 years old with bilateral mild hearing loss. PART 2 is a qualitative study to understand the barriers/enablers to RCT participation. Of 40 potentially eligible families, nine (23%) declined, three were uncontactable (7%), 26 (65%) ineligible: of these, nine (35%) did not meet hearing threshold inclusion criteria, 11 (42%) were already fitted or had made decisions on fitting hearing device, two (7%) had conductive loss and four (16%) were ineligible for other reasons. Two of 11 (18%) eligible families were randomised. With the limited sample size, outcome measures were not compared between groups. Both participants completed the trial, reported the RCT to be acceptable, and neither changed group post-enrolment. Whilst recruitment uptake could potentially be increased by altering the eligibility criteria, better communication with and reimbursement of clinicians as recruiters, and improving awareness of the study amongst external stakeholders, the RCT methodology does not conform to family-centred practice, and potentially raises ethical concerns regarding potential adverse consequences of not offering early amplification. Parental perception of losing control over choice of management due to randomisation is not an easily modifiable factor. Alternative methodological approaches without randomisation are required to determine whether hearing amplification benefits infants with mild hearing loss.Clinical Trial Registration: identifier [ACTRN12618001608257].

Innovative Exercise in a New Normal

Innovative exercise is an important aspect of a healthy lifestyle. The availability of various resources has made it easier for people to find activities that they enjoy and that meet their fitness goals. In addition to traditional exercises like running, weightlifting, and yoga, there are also new, exciting forms of exercise such as virtual reality fitness, aerial yoga, and trampoline workout classes. Technology has also played a major role in making exercise more accessible and convenient. For example, there are fitness apps that allow users to track their progress, set goals, and participate in virtual workout classes from the comfort of their own homes. Wearable fitness devices, such as fitness trackers and smartwatches, make it easy to monitor physical activity and track progress in real-time. In addition to these technological advancements, there is also an increased focus on making fitness facilities more inclusive and accessible to all. This includes the incorporation of accessible equipment, sensory-friendly environments, and adaptive fitness programs for individuals with disabilities. Overall, the trend towards innovative exercise is not only providing people with new and exciting ways to stay active, but it is also helping to address the challenges posed by the pandemic and other emerging health threats. By continuing to evolve and adapt to changing circumstances, the fitness industry is playing an important role in promoting health and wellness for people around the world.

Test and simulation of mechanical properties of a lightweight adaptation device

Based on carbon fiber, extruded polystyrene foam (XPS), ethylene vinyl acetate plastic foam (EVA), and other materials, a lightweight fitting device is designed. Its mechanical properties are tested and simulated. The experimental results and simulation are consistent. The adaptive device adopts a lightweight design, and the single piece weight is less than 30 kg. The final height of the adaptive device can be changed through manual stacking and combination to meet different application scenarios. The adaptive device also adopts a modular design, which separates the bearing function from the adaptive function. The bearing module meets the bearing demand, while the adaptive module has good deformation capacity. The device can be repeatedly used for the safe and fast transfer of heavy equipment.

What Makes Consumers Adopt a Wearable Fitness Device?

Wearable fitness devices are equipped with internet connectivity and capable of tracking, storing, and transmitting health data. A research model is proposed and tested, which shows how cognitive, affective, social, and motivational consumer factors affect the intention to adopt wearables, respectively. The antecedents of these factors are also studied, including perceived usefulness, ease of use, and effectiveness for cognitive factors; positive and negative feelings for affective factors; perceived number of users, number of peers, and social images for social factors. An online survey was conducted among 297 non-wearable-users in the U.S. to collect data. Structural equation modeling was used to test the intention model. The results showed that three factors—cognitive, affective, and motivational—emerged as key determinants of consumers' intention to adopt wearables, with affective factors showing the most explanatory power. The role of the price factor was also revealed. Theoretical and business practical implications are discussed based on the current findings.

Knowledge, usability, and impact of wearable fitness devices among community exercisers in Ghana

BackgroundThere has been a rapid evolution of wearable technologies such as wearable fitness devices (WFDs) in recent years globally. The continuous release of upgraded WFDs with diverse qualities presents new opportunities for research into their knowledge, usability, and impact in developed countries. Although few studies have separately examined the knowledge, usability, and impact of WFDs in Sub-Saharan Africa, more information is needed on combined knowledge, usability, and impact of smart WFDs among Ghanaians. The present study (1) assessed the knowledge, usability, and impact of WFDs among healthy community exercisers, and (2) investigated the factors that affect the usage and barriers to the use of WFDs in Ghana.MethodsThe quantitative descriptive design study had 152 healthy community exercisers (mean age = 23.37 ± 5.18 years) as participants. Self-structured questionnaire and System Usability Scale were administered.ResultsThere were more non-users of WFDs (73.7%) than users (26.3%). Knowledge on WFDs among participants was high, usability was poor (mean SUS score = 66.87 ± 13.67) among users, and a positively fair impact on users was obtained. Performance expectancy was among the other factors that affected the usage of WFDs and price value was among the significant barriers identified.ConclusionThere are more non-users of WFDs than users. Knowledge on WFDs among participants was high, usability was poor among users with positively fair impact on users.

Exploring the Role of Wearable Electronic Medical Devices in Improving Cardiovascular Risk Factors and Outcomes Among Adults: A Systematic Review.

There is a developing trend of using wearable electronic devices as health aides, spurred on by telecommunication companies as fitness devices and marketed as such. They have been shown to count steps, pulse, and record arrhythmias, doubling as communication devices and prompting healthcare providers in some instances. We sought to determine if there was a direct correlation between device use and increased physical activity as recommended by the World Health Organization, or if this physical activity increase was only marginal at best. In addition, we sought to investigate if there were additional benefits to using these devices besides increased self-awareness of health. This systematic review used Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Keywords for searching articles centered around cardiovascular disease, wearable electronic devices, and their synonyms. Most of the data were obtained from PubMed, although other contributing databases were used, including ResearchGate, Science.gov, ScienceDirect, and PubMed Medical Subject Headings database. Only full-text articles were used. We identified 62 articles that met our search criteria but narrowed them down to 19 following qualitative assessment. Increased physical activity was found to be the one parameter that stood out by way of benefit from the device. Other findings, such as reduced waist circumference, obesity, glycated hemoglobin, and lipid levels, shared mixed results. At this time, we do not have a definition of what duration of device use is deemed standard for health. We have no consensus on which devices are superior health-wise. Our study, however, indicates that these devices, used with adequate health professional supervision, have a role to play in motivation and increased physical activity, enough to cause impactful gains in cardiovascular health.

Physiological and psychological effects of a 12-week home-based telemonitored training in metabolic syndrome.

Metabolic Syndrome (MetS) increases the risk of cardiovascular diseases (CVD) and affects around one fourth of the population worldwide. In the prevention and treatment regular exercise trainings are inevitable. Providing personal supervision in out/inpatient care settings for such a large target population challenges the healthcare systems, but using telemonitoring of the home-performed trainings could be a promising and widely available option. The aim of this study was to evaluate the physiological and psychological effects of a 12-week home-based physical training program, telemonitored by widely available fitness devices on parameters of MetS patients. A total of 55 MetS patients (mean age 49.19 ± 7.93 years) were involved in the study. They were asked to perform 3-5 sessions of exercise activity (min. 150 min) each week for 12 weeks. Trainings were monitored off-line by heart rate sensors, a fitness application and a cloud-based data transfer system. Physiotherapists supervised, coached, and feedback the trainings through an online coach system. We investigated different anthropometric parameters, maximum exercise and functional capacity levels, laboratory parameters, the level of depression, insomnia, vital exhaustion, and wellbeing as well. The average weekly training time was 152.0 ± 116.2 min. Out of the 55 participants who completed the program, 22 patients (40%) performed the recommended 150 min or more weekly. Patients showed statistically significant changes in: all the measured waist and hip circumferences; 6-min walk distance (6MWD; from 539.69 ± 78.62 to 569.72 ± 79.96 m, p < 0.001); maximal exercise capacity (11.02 ± 2.6 to 12.14 ± 2 MET, p < 0.001), stress-electrocardiogram duration time (13.74 ± 3.29 to 15.66 ± 2.64 min, p < 0.001); body weight (98.72 ± 21.7 to 97.45 ± 21.76 kg, p = 0.004); high-density lipoprotein cholesterol (n = 45, 1.28 ± 0.31 to 1.68 ± 0.36 mmol/L, p < 0.001); fasting plasma glucose (FPG; n = 47, 6.16 ± 1.26 to 5.44 ± 1.31 mmol/L, p = 0.001); glycated hemoglobin A1c (HbA1c; n = 41, 6.22 ± 0.68 to 5.87 ± 0.78%, p = 0.01). Out of the 55 patients who finished the program 38 patients (70%) completed all the psychological questionnaires. We found statistically significant decrease of the overall scores of the Maastricht Vital Exhaustion Questionnaire, from 3.37 ± 2.97 points to 2.63 ± 2.70 points (p < 0.05) and a significant increase of the overall scores of the WHO Wellbeing Scale from 9.92 ± 2.59 points to 10.61 ± 2.76 points (p < 0.05). We have not found any statistically significant changes in the scores of the Beck Depression Inventory and the Athens Insomnia Scale. A 12-week home-based telemonitored training supported by an affordable, commonly available device system produces positive, statistically significant changes in many core components in MetS patients. Telemonitoring is a cheap method for coaching and feeding back the home-based interventions.

Exploring the mass adoption potential of wearable fitness devices in Malaysia.

The current study explores the formation of an intention to use wearable fitness devices (WFDs) with wearable fitness attributes and health consciousness (HCS). Moreover, the research examines the use of WFDs with the health motivation (HMT) and intention to use WFDs. The study also exposes the moderating effect of HMT between the intention to use WFDs and the use of WFDs. Five hundred and twenty-five adults participated in the current study, and data were collected from January 2021 to March 2021 through the online survey of Malaysian respondents. The cross-sectional data was analyzed using the second-generation statistical method of partial least square structural equation modeling. HCS is insignificantly associated with the intention to use WFDs. Perceived compatibility, perceived product value, perceived usefulness, and perceived technology accuracy significantly influence the intention to use WFDs. HMT significantly impacts the adoption of WFDs; however, the intention to use WFDs negatively but significantly influences the use of WFDs. Lastly, the association between the intention to use WFDs and the adoption of WFDs is significantly moderated by HMT. Our study findings illuminate the significant impact of technology-level attributes of WFDs on the intention to use WFDs. However, an insignificant impact of HCS on the intention to use WFDs was reported. Our result confirms that HMT plays a significant role in the use of WFDs. Such as the moderating role of HMT is vital to transform the intention to use WFDs into the adoption of WFDs.

Characteristics of Fitness-Related Injuries in The Netherlands: A Descriptive Epidemiological Study.

Although general information is available, specifically detailed information on gym-based fitness-related injuries in the general recreational fitness population is lacking. The aim of our study was to obtain more insight into injuries occurring as a result of gym-based fitness activities. A descriptive online epidemiological study was conducted in November 2020. The survey was distributed by a market research agency to members of their research panel. A total of 494 Dutch fitness participants aged ≥ 18 years (mean 38.9; 59% male) who had sustained a fitness-related injury in the preceding 12 months were included in the study. Most injuries occurred during strength training, individual cardio exercise, yoga/Pilates, cardio exercise in group lessons, and CrossFit. The shoulder, leg, and knee were the most common injured body parts; 73.1% of the injuries occurred during unsupervised gym-based fitness activities, and 46.2% of the injuries occurred during one specific exercise or when using a specific fitness device: running (e.g., on the treadmill) (22.8%); bench press (11.8%); or squats (9.6%). Overuse or overload (n = 119), missteps and sprains (n = 48), or an incorrect posture or movement (n = 43) were most often mentioned as causes of injury. Conclusions: Most self-reported gym-based fitness-related injuries occur during strength training and individual cardio exercise. Special attention should be given to the shoulder during strength training and to the lower extremities during cardio exercise. Injury prevention interventions should be able to be carried out without supervision.

The Moderating Role of Privacy Concerns on Intention to Use Smart Wearable Technologies: An Integrated Model Combining UTAUT2 Theoretical Framework and Privacy Dimensions

Wearable healthcare technologies enable continuous monitoring of wearers’ health status and the implementation of preventive measures that significantly improve their health. In recent years, the popularity of wearable fitness devices has skyrocketed. Privacy concerns are a significant impediment to more people using these devices. This study aims to understand the moderating role of privacy concerns on users’ intentions to use wearable fitness technologies. The theoretical model for this study integrates the UTAUT2 framework and privacy concerns as a second-order model. The study follows a quantitative research approach, using a questionnaire to collect data. The PLS-SEM model was used to test the theoretical model. The integrated model with the indirect effect of privacy concerns explained higher variance in predicting the behavioral intention to use wearable fitness devices. Price value, performance expectancy, habit, and facilitating conditions all had a significant influence on users’ decisions to use wearable fitness devices, while privacy concerns moderated the relationship between UTAUT2 constructs for behavioral intention to use these devices. This study confirmed that the UTAUT2 model could be extended to explain the initial adoption of smart wearable fitness devices. Prior studies investigated the intention to use smart wearable devices, but few addressed privacy concerns associated with wearable fitness devices. This study addressed this gap by investigating the moderating role of privacy concerns on the intention to use wearable fitness devices. The integrated theoretical model developed uncovers users’ privacy concerns related to these systems.

A Visual Variability and Visuo‐Tactile Coordination Inspired Child Adaptation Mechanism for Wearable Age Group Recognition and Activity Recognition

Not all wearable fitness devices are suitable for children. Due to the decay of activity recognition accuracy and exercise requirement variety caused by the physical differences between adults and children, devices developed for adults cannot provide appropriate exercise guidance to children. Considering the complexity and time‐consuming nature of developing a new children‐specific model, this article proposes a child adaptation mechanism that can be integrated into current adult wearable devices. Two algorithms using unlabeled children's data for age group recognition and activity recognition inspired by the visual variability in cognitive process and visuo‐tactile coordination phenomenon in cortical plasticity are proposed. During an experiment on 30 adults and children, the age group recognition algorithm achieves 93.33% recognition accuracy, and the activity recognition algorithm achieves 88.57% recognition accuracy. This is an 11.16% improvement compared with the baseline and 2.87–4.1% improvement compared with the state‐of‐the‐art transfer learning or self‐adaptation algorithms. The proposed mechanism ameliorates current wearable devices with minimum cost to make them suitable for children and can serve as an alternative to help children learn healthy exercise habits. It is hoped that the work can draw the attention of academia to vulnerable groups, including children, to build a friendlier artificial intelligence network.

WHILE YOU WERE SLEEPING

WHILE YOU WERE SLEEPING