Search Results (302)

This research presents a preliminary proposal for a rehabilitation exercise aimed at patients with muscle weakness in the distal upper limb. A virtual environment was developed, where the user engages in a rehabilitation activity focused on rehabilitating the pinch grip. The goal is to strengthen the patient’s grasp and reduce muscle weakness. The virtual environment was designed as a video game in order to generate greater interest and encourage patients to adhere to their rehabilitation activities. This virtual game utilizes the haptic device Novint Falcon for the interaction with the environment. This preliminary work implements an impedance control with neural compensation; the control strategy produces signals to adapt the force exerted by the patient, with the goal that the device can give a force of the same magnitude but in the opposite direction. Consequently, regardless of the patient’s initial strength, the device will always deliver an assistive force to guide the patient along a desired trajectory. Initial experimental results with the proposed virtual-haptic rehabilitation system are presented, indicating the feasibility of the approach; however, further studies are required to validate its clinical effectiveness. Full article

The sit-and-reach test is a common stretching exercise suitable for adolescents, aimed at improving joint flexibility and somatic neural control, and has become a mandatory item in China’s student physical fitness assessments. However, many students tend to perform incorrect postures during their practice, which may lead to sports injuries such as muscle strains if sustained over time. To address this issue, this paper proposes a Ghost-ST-GCN model for judging the correctness of the sit-and-reach pose. The model first requires detecting seven body keypoints. Leveraging a publicly available labeled keypoint dataset and unlabeled sit-and-reach videos, these keypoints are acquired through the proposed self-train method using the BlazePose network. Subsequently, the keypoints are fed into the Ghost-ST-GCN model, which consists of nine stacked GCN-TCN blocks. Critically, each GCN-TCN layer is embedded with a ghost layer to enhance efficiency. Finally, a classification layer determines the movement’s correctness. Experimental results demonstrate that the self-train method significantly improves the annotation accuracy of the seven keypoints; the integration of ghost layers streamlines the overall detection model; and the system achieves an action detection accuracy of 85.20% for the sit-and-reach exercise, with a response latency of less than 1 s. This approach is highly suitable for guiding adolescents to standardize their movements during independent sit-and-reach practice. Full article

Physical rehabilitation is crucial for injury recovery, offering pain relief and faster healing. However, traditional methods rely heavily on in-person professional feedback, which can be time-consuming, expensive, and prone to human error, limiting accessibility and effectiveness. As a result, patients are often encouraged to perform exercises at home; however, due to the lack of professional guidance, motivation dwindles and adherence becomes a challenge. To address this, this paper proposes a smartphone-based solution that enables patients to receive exercise feedback independently. This paper reviews current Computer Vision systems for assessing rehabilitation exercises and introduces an intelligent system designed to assist patients in their recovery. Our proposed system uses motion tracking based on Computer Vision, analyzing videos recorded with a smartphone. With accessibility as a priority, the system is evaluated against the advanced Qualysis Motion Capture System using a dataset labeled by expert physicians. The framework focuses on human pose detection and movement quality assessment, aiming to reduce recovery times, minimize human error, and make rehabilitation more accessible. This proof-of-concept study was conducted as a pilot evaluation involving 15 participants, consistent with earlier work in the field, and serves to assess feasibility before scaling to larger datasets. This innovative approach has the potential to transform rehabilitation, providing accurate feedback and support to patients without the need for in-person supervision or specialized equipment. Full article

Background: Maintaining long-term exercise adherence in occupational settings remains a challenge, particularly in remote or unsupervised environments. This study aimed to investigate the effect of individualized feedback on exercise adherence, body composition, and physical function during a remote home-based training intervention utilizing the video-based exercise system “SUKUBARA^®”. Methods: In total, 66 care facility workers were randomly categorized into either a feedback (FB) group or a non-feedback (NF) group. Both groups performed a combined exercise program comprising low-load resistance training (slow squats) and balance exercises (one-leg standing time of closed eye) for approximately 15 min, thrice weekly over 12 weeks. The FB group received individualized feedback sheets visualizing total video play time (TT), exercise frequency, and interruptions, alongside reminder emails. The primary outcome was TT. Secondary outcomes included body composition measures (body weight, fat-free mass, and body fat mass rate) and one-leg standing time of opened eye. Results: The FB group demonstrated significantly greater TT, approximately 1.5 times that of the NF group, indicating enhanced exercise adherence. Moreover, significant improvements in fat-free mass and body fat mass rate were observed in the FB group. A significant correlation was identified between changes in TT and body composition parameters, suggesting TT as a valid proxy for exercise engagement. Conclusions: Individualized feedback within a remote monitoring home exercise program effectively improved exercise adherence and body composition among care workers. The “SUKUBARA^®” system shows promise as a tool to support exercise continuity in occupational health and long-term care settings. Full article

Mastering client-side Web programming is essential for the development of responsive and interactive Web applications. To support novice students’ self-study, in this paper, we propose a novel exercise format called the phrase fill-in-blank problem (PFP) in the Web Programming Learning Assistant System (WPLAS). A PFP instance presents a source code with blanked phrases (a set of elements) and corresponding Web page screenshots. Then, it requests the user to fill in the blanks, and the answers are automatically evaluated through string matching with predefined correct answers. By increasing blanks, PFP can come close to writing a code from scratch. To facilitate scalable and context-aware question creation, we implemented the PFP instance generation algorithm in Python using regular expressions. This approach targets meaningful code segments in HTML, CSS, and JavaScript that reflect the interactive behavior of front-end development. For evaluations, we generated 10 PFP instances for basic Web programming topics and 5 instances for video games and assigned them to students at Okayama University, Japan, and the State Polytechnic of Malang, Indonesia. Their solution results show that most students could solve them correctly, indicating the effectiveness and accessibility of the generated instances. In addition, we investigated the ability of generative AI, specifically ChatGPT, to solve the PFP instances. The results show 86.7% accuracy for basic-topic PFP instances. Although it still cannot fully find answers, we must monitor progress carefully. In future work, we will enhance PFP in WPLAS to handle non-unique answers by improving answer validation for flexible recognition of equivalent responses. Full article

Background: The aim of this review was to analyze training interventions used and their effectiveness in improving pelvic floor muscle function related to urinary continence in postmenopausal women. We then characterized the recommended pelvic floor muscle training programs used in experimental studies based on four training components: frequency, intensity, duration, and type of pelvic floor muscle exercise. Methods: For this purpose, we conducted a literature review of works published up until the end of 2024, available in the Web of Science, PubMed, MEDLINE, and SPORTDiscus with Full Text databases. We used the keywords “pelvic floor muscle”, “training”, and “postmenopausal women”. Initially, we identified 205 articles published between 1997 and 2024. Then, based on specific criteria, we qualified 15 for analysis. Results: Thirteen studies included only PFMT, while three of them combined PFMT with other physical activity. In two studies, training was conducted in the form of a virtual video game using a pressure platform. We have noted that researchers most often use a 1 h pad test, digital palpation, and surface electromyography to assess the function of pelvic floor muscles. In improving pelvic floor muscle function related to urinary incontinence, 14 out of the 15 analyzed studies showed improvement. In only eight of the fifteen articles, researchers characterized all components of the implemented PFMT that enable full replication of the training intervention. In four of the studies, only one of the required components, namely intensity, was missing. The recommended number of training sessions was 2 to 7 per week, on average 3 ± 2 (M ± SD). Training interventions lasted from 2 to 24 weeks, on average 10 ± 6 weeks. Conclusions: Regardless of the chosen form of training intervention, PFMT is an effective method in improving the function of pelvic floor muscles in postmenopausal women. Full article

Background/Objectives: The urine sodium/potassium (Na/K) ratio can potentially be used to detect dietary habits that contribute to hypertension. In this prospective cohort interventional trial, we aimed to verify whether private insurance sales staff can help clients change their lifestyle habits based on their urinalysis results. Methods: Clients of the life insurance company (20–65 years old) who were considered to have “high risk” lifestyle factors, which was defined as having high values for two or more of the following indicators: body mass index, blood pressure, triglycerides, liver enzymes, and glucose metabolism, were included. The clients were randomly assigned to three groups: a face-to-face (FF) intervention by sales staff (n = 83), non-FF (Non-FF) intervention via a social networking service (n = 87), and no intervention (Control) (n = 58). Urinalysis and surveys about diet and exercise habits were conducted before and after a 3-month interventional period in all groups. Three interventions were performed for the FF and Non-FF groups, including dietary advice based on urinalysis results, education encouraging reduced salt intake and increased locomotor activity, and viewing an educational video. The Control group only received their urinalysis results by mail. Results: The participants’ mean age was 44.0 years old. Significant improvements in estimated potassium intake were observed in the Non-FF group, and significant reductions in urine Na/K ratios were noted in both the FF and Non-FF groups. Multiple logistic regression analysis indicated that watching the video was the most effective factor for decreasing the urine Na/K ratio (odds ratio = 1.869). The total points for dietary behavior, based on the questionnaire, significantly improved among the individuals who watched the video. Conclusions: This study demonstrates the potential for private health insurance companies to contribute to health promotion and introduces a novel strategy for improving lifestyle habits among individuals at high risk of lifestyle-related diseases. Full article

Background/Objectives: Schizophrenia Spectrum Disorders (SSDs) carry a debilitating burden of disease which, even after pharmacological and psychological treatment are optimized, remains difficult to fully target. New online-delivered and user-led interventions may provide an appropriate, cost-effective answer to this problem. This study aims to retrieve the currently gathered findings on the efficacy of these interventions across several outcomes, such as symptom severity, social cognition, functioning and others. Methods: A systematic review of the current available literature was conducted. Of 29 potentially relevant articles, 26 were included and assigned at least one of four intervention types: Web-Based Therapy (WBT), Web-Based Psycho-Education (WBP), Online Peer Support (OPS) and Prompt-Based Intervention (PBI). Results: The findings were grouped based on outcome. Of 24 studies evaluating the effects of symptom severity, 14 have achieved statistically significant results, and 10 have not. WBT (such as online-delivered Cognitive Behavioral Therapy, Acceptance and Commitment Therapy, social cognition training and Mindfulness Training) seemed to be the most effective at targeting symptoms. Of 14 studies evaluating functioning, seven achieved significant results, four involving a form of social or neurocognitive training, suggesting a potential pathway towards functional improvements through interventions targeting cognition and motivation. Regarding social cognition, all seven studies measuring the effects of an intervention on this outcome produced significant results, indicating that this outcome lends itself well to remote, online administration. This may be linked with the nature of social cognition exercises, as they are commonly administered through a digital medium (such as pictures, videos and auditory exercises), a delivery method that suits the online-user led model very well. Conclusions: Online user-led interventions show promise as a new way to tackle functional deficits in SSD patients and achieve these improvements through targeting social cognition, a hard-to-reach component of the burden of SSDs which seems to be successfully targetable in a remote, user-led fashion. Symptomatic improvements can also be achievable, through the combination of these interventions with treatment as usual. Full article

Voice disorders occur frequently in schoolteachers. The aim of the present cross-sectional study involving 124 German teachers was to investigate whether singing, voice training, and high self-efficacy are protective factors for vocal health. Furthermore, vocal self-concept was examined as a potential mediator explaining this relationship. Participants were assigned to the cases group if they had a clinically significant finding in voice examinations consisting of video laryngoscopy (VLS), auditory assessment (RBH), and the Voice Handicap Index (VHI) were assigned to the cases group. Psychosocial assessments comprised questions about singing activities and participation in voice training as well as validated questionnaires regarding self-efficacy (LSWS) and vocal self-concept (FESS). Group comparisons and mediation analyses were conducted. Analyses revealed a decreased risk of voice problems for teachers who sing regularly (OR: 0.442, p = 0.038). Furthermore, the absence of voice problems was associated significantly with higher self-efficacy ratings (t(113) = 1.71, p = 0.045). Both associations were mediated by vocal self-concept ratings (singing: ab = −0.422, 95%-CI [−1.102, −0.037]; self-efficacy: ab = −0.075, 95%-CI [−0.155, −0.022]). Participation in voice training in the past did not reduce the risk of voice problems significantly. The presented data suggest that regular singing and self-efficacy should be promoted in health care and prevention programs. Since no impact of sporadic participation in voice training activities on the occurrence of voice problems was found, efforts regarding the transfer of regular vocal exercises into daily life need to be intensified. Full article

Objectives: This study empirically examined the effects of a digital game-based physical activity program (AI-FIT) on elementary school children’s health-related physical fitness while exploring the role of educational technology (EdTech) as a practical solution to post-pandemic physical inactivity. Methods: This study was conducted over a 12-week period, from September to December 2024, with 40 students (grades 4 to 6) from an elementary school located in a mid-sized city in South Korea. The participants had a mean age of 10.8 years (SD = 0.69). The experimental group (n = 20) participated in the AI-FIT program, while the control group (n = 20) received regular physical education classes. To ensure baseline equivalence between the groups, propensity score matching was employed. Health-related physical fitness was assessed through pre- and post-tests, including flexibility, muscular endurance, cardiorespiratory endurance, explosive power, and Physical Activity Promotion System (PAPS) grade. Analyses were conducted using both dependent (paired) and independent t-tests, along with effect size calculations (Cohen’s d), to examine within-group and between-group differences. In addition, gender-based subgroup analyses were performed to examine potential differences in responsiveness to the intervention. Intervention: Results indicated that the AI-FIT program had a large effect on flexibility (d = 0.90) and muscular endurance (d = 0.80) and a moderate-to-large effect on PAPS grade (d = 0.69). In contrast, no statistically significant improvements were observed in cardiorespiratory endurance or explosive power. Conclusions: These findings suggest that a digital program integrating AI-based personalized exercise prescriptions and gamification elements can effectively enhance the health-related fitness of elementary students. Moreover, this study supports the educational efficacy of EdTech-based interventions in physical education settings. Full article

Although the benefits of regular physical activity are widely recognized, many university students fail to sustain consistent exercise behaviors. This phenomenon may be attributed to cognitive and motivational barriers, particularly perceptions of goal attainability and attribution styles, which are believed to significantly influence students’ health beliefs and intentions to engage in physical activity. This research aimed to examine the independent and combined effects of goal attainability and attribution style on Chinese university students’ health beliefs and willingness to exercise. The study also investigated how shifts in attribution style may influence these outcomes under different levels of goal attainability. Two between-subjects experiments were conducted. In Experiment 1 (N = 146), a 2 (goal attainability: high vs. low) × 2 (attribution style: internal vs. external) design was used. Participants were exposed to tailored exercise advertisements and completed standardized questionnaires measuring health beliefs and exercise intentions. Experiment 2 (N = 130) adopted a 2 (goal attainability: high vs. low) × 2 (attributional shift: external-to-internal vs. internal-to-external) design, utilizing visual priming and short video interventions to manipulate attributional orientation. In Experiment 1, both high goal attainability and internal attribution independently enhanced participants’ health beliefs and exercise willingness. A significant interaction effect was observed only for exercise willingness, with the highest intentions found in the high attainability × internal attribution group. In Experiment 2, shifting attribution from external to internal significantly increased both health beliefs and exercise willingness, while shifting from internal to external resulted in substantial decreases. An interaction effect was again found only for exercise willingness, suggesting that the effectiveness of attributional shift depended on goal attainability. By integrating the Health Belief Model with Attribution Theory, this study offers a deeper understanding of how cognitive and motivational factors influence exercise behavior, and provides a theoretical foundation for developing adaptive interventions. Full article

Automated motion evaluation has become popular in exercise training and entertainment. In this study, an advanced automatic dance scoring algorithm is proposed. First, to avoid misjudgment from misalignment, space and time alignment are assessed. Then, instead of using the whole video frames as the input, we apply the joint information, including the relative locations, the moving velocities, the orientations, and the areas between the joint lines. To make the features more flexible and magnify the detail difference, we take the fractional powers on input features. The correlation coefficients are calculated for feature selection, and a nonlinear analysis is introduced to determine the angle difference. The least mean square error approximation is also applied to determine the linear combination coefficients of the features. The difference between the ground truth and the interpolated results from the regression line is minimized using the input features. The proposed algorithm accurately predicts dancing scores. Full article

The physical inactivity of adolescents and their sedentary lifestyle with profuse usage of screens has been a growing issue for the last few years. In contrast, there is some evidence that videogame-based exercising improves cognitive abilities and psychological well-being during growth and maturation. Therefore, there is a need for the wider exploration of innovation tools in physical education (PE) and extracurricular activities for schoolchildren. The aim of this study was to determine the change in psychological well-being and cognitive skills of adolescents when exercising is supplemented with videogame-based activity. The short-term physical activity (PA) program, initiated by in-service PE teachers (n = 3), involved 13–15-year-old adolescents (n = 63, of them 20 were boys) from one of biggest cities in Lithuania. The research subjects were participants of extracurricular exercise groups on a regular basis, attending their respective three-times-a-week sessions for 1 month. The first intervention group engaged in a 60 min functional training program (FT group, n = 31). The second group had 30 min of FT followed by 30 min of video-based dance class (FT + Just Dance group, n = 32). The Trail-Making test (part A and B), the Visual Digit Span test, and the Stroop test were performed to investigate students’ cognitive abilities. In addition, the WHO-5 questionnaire was used to analyse the respondents’ psychological well-being. When comparing pre- and post-intervention results, no changes were observed in the psychological state, visual–executive skills, and short-term visual memory in both groups. Reaction time improved significantly in both groups (p < 0.05). The working memory significantly improved in the FT + Just Dance group (p < 0.05). The implementation of videogame-based training, Just Dance, improved adolescents’ working memory, but had no effect on subjectively perceived psychological well-being. Full article

Introduction: Goal setting is an effective strategy in altering fitness and dietary behaviours. The goal attainment scale (GAS) is a patient-reported outcome measure that can be used to quantify goal achievement. The GAS has not been extensively assessed in lifestyle intervention trials. This study aimed to describe the goal setting process and assess the impact of a digital exercise and diet service and self-efficacy on goal attainment in people with chronic disease and at increased cardiometabolic risk. Methods: This study presents a single-centre, 26-week, randomised controlled trial (RCT) comparing standard care to digital health technologies (text messages, nutrition/exercise app, video consultations with dietitian and/or exercise physiologist). The comparator group was offered dietitian review (per standard care), and both groups received a wearable activity monitor. Individualised goal setting was facilitated prior to randomisation. Goal importance, performance measures, and self-efficacy were determined by participants. Goal outcome and ‘Change in GAS’ scores, reflecting the difference between baseline and follow-up performance, were calculated using validated formulae. Results: Goal setting was completed and reviewed by 66 participants, with a median age of 51 years and 56% being male. The most common goals related to weight loss (46%), fitness (29%), and diet (15%). Most participants (62%) reported improvements in their goals, with most improvements in dietary (71%), fitness (52%), and weight loss (39%) goals. There was no significant difference in goal outcomes between intervention and comparator groups (p = 0.99). There was, however, a significant correlation between nutrition self-efficacy and dietary goal achievement (p = 0.04). Conclusions: The novelty and feasibility of goal setting and attainment were demonstrated in this RCT of lifestyle interventions in people with chronic disease. Though the intervention did not significantly improve goal attainment, most participants reported improvements in their lifestyle goals. There were greater improvements in dietary goals than in fitness or weight loss goals. Participant-led goal setting with GAS and participant self-efficacy has potentially important applications in future lifestyle modification research and clinical implementation endeavours. Full article

Recent studies have increasingly focused on using virtual reality (VR) exercise video games (exergames) to boost motivation for physical activity among the elderly. However, there is little discussion about the factors influencing the performance and effort expectancy of immersive exergames in older adults. The study was based on the Unified Theory of Acceptance and Use of Technology (UTAUT) model. UTAUT model was tested and extended by investigating two predicted factors—Physical Safety (PPS) and Physical Postures (PP)—of immersive exergames among older adults. PP, PPS, Performance Expectancy (PE), and Effort Expectancy (EE) relationships were analyzed. In this study, 40 healthy older adults were divided into 2 groups to play an immersive exergame for at least 5 min, either sitting or standing. Then, a list of measurement items based on the extended UTAUT model was completed by one-on-one interviews. The t-test results showed that PP was significantly correlated with PPS (t = −6.598, p < 0.001) and PE (t = 6.465, p < 0.001). The path analysis showed that PPS as a negative correlation was verified as a factor of PE (β = −0.438, p < 0.01). Both PP and PPS had no significant effect on EE. Overall, valuable insights and theoretical guidelines for older adults accepting immersive exergames are supported in this study. Full article