Search Results (47)

Pedestrian-detection research and pre-crash safety assessment predominantly represent upright pedestrians, although prone, supine, lateral, seated, crouched, kneeling, partially collapsed, and fall-transition states alter target geometry, visibility, sensor signatures, and intervention time. Cross-study comparison is further limited by inconsistent posture labels, data provenance, latency boundaries, uncertainty reporting, and vehicle-response assumptions. We developed NUP-REPORT 1.0 as a provisional reporting and benchmarking framework through a structured narrative synthesis of a 45-source derivation corpus covering epidemiology, sensing benchmarks, uncertainty and assurance methods, reporting-guideline methodology, and public safety protocols. A reconstructed decision ledger documented 46 candidate concepts: 30 were retained as checklist items, 10 were assigned to an extended descriptor set, and six were merged. Each retained item was mapped to supporting evidence and classified as universal core (n = 19), component-contingent core (n = 4), or conditional (n = 7). The framework comprises six domains, a scenario-coverage matrix, five non-overlapping event timestamps, detection-referenced stopping equations, and a 30-item checklist. A purposive feasibility audit of 20 publications, including the adjacent pedestrian-detection literature not designed specifically for non-upright evaluation, illustrated checklist use. Within this sample, target orientation and static-versus-transition state were each reported explicitly in five of 20 publications (25%); none of the 17 applicable papers reported both time-to-first-detection and detection distance, none evaluated confidence calibration, and none of the 20 reported independent-unit uncertainty intervals. Vehicle-response items were non-applicable to papers making no intervention claim. These observations are sample-specific and do not estimate field-wide reporting prevalence. NUP-REPORT is not a consensus standard, certification procedure, or safety score; it is a traceable Version 1.0 proposal for study design, retrospective audit, and stakeholder refinement. Full article

In recent years, advances in exoskeleton technology have increased the demand for human motion classification in terms of both movement diversity and recognition accuracy, making the effective classification of more complex asymmetric movements increasingly important. This study integrated surface electromyography (sEMG) and inertial measurement unit (IMU) signals and employed mutual information (MI) and muscle symmetry features (MSF) to analyze the characteristic differences between symmetrical muscles in both legs during asymmetric movements, with the aim of improving the accuracy of asymmetric motion classification. sEMG and IMU signals were collected from six movements, including three asymmetric postures: asymmetrical stance, single-knee kneeled position, and crouching advance. The acquired signals were processed through energy envelope analysis, active segment extraction, empirical mode decomposition (EMD), feature extraction, MI extraction, and MSF extraction. The relevance based on weight feature selection (RWFS) combined with conditional mutual information (CMI) method was then applied to reduce feature dimensionality, prioritize features with significant fluctuations, and preserve key characteristics. Finally, the CNN-LSTM-Attention algorithm was used for classification. Experimental results showed that fusing sEMG and IMU signals achieved 96.30% accuracy in lower limb motion recognition. The proposed method improves asymmetric movement classification and may provide a potential basis for exoskeleton motion classification in special environments. Full article

Hungarian legislation—TÉKA 280/2024 and ÉKM 9/2023, effective January 2025—requires hospitality properties to install operational EV charging infrastructure. This study develops a techno-economic scenario model assessing DC Fast Charging (DCFC) powered by formic acid (HCOOH)-based proton-exchange membrane (PEM) fuel cell microgrids as an alternative to conventional grid-tied AC charging in energy-constrained rural tourism destinations. Three containerized HCOOH-PEM configurations (100 kW, 500 kW, 1 MW) are modelled using published technical parameters and secondary market benchmarks, and results are interpreted through Porter’s competitive advantage theory and Ritchie and Crouch’s destination competitiveness framework. All reported values are simulation outputs derived from predefined assumptions rather than empirically validated findings. Under these assumptions, the DC-HCOOH configuration projects annual EBITDA of €72,946 per unit (284% above the modelled AC baseline) with a comparable simple payback period, while ancillary guest spending during DCFC dwell-time (‘Charge and Spend’) is projected at roughly 5.3 times the AC level. Sensitivity scenarios show that payback estimates are highly responsive to CAPEX scope and ancillary-margin assumptions. Findings offer a conceptual basis for destination managers, investors, and policymakers, while underscoring the need for empirical validation with primary operational data. Full article

Hereditary neuromuscular disorders in dogs can be difficult to classify since variants in different genes can result in similar clinical signs or variable phenotypes can be associated with the same DNA sequence variant. A disorder known for many years as Dancing Doberman Disease, suspected to be neuropathy or neuromyopathy, is characterized by repeated lifting and shifting of the pelvic limbs while standing and frequent sitting. More recently, Doberman Pinschers have been identified with a different and more severe phenotype characterized by a crouched stance and bunny hopping gait in the pelvic limbs that is termed duck walking. Dogs with both phenotypes show pelvic limb weakness, muscle atrophy, and fatigue, and clinical signs can progress to involve the thoracic limbs. These distinct phenotypes were evaluated clinically, histologically, and by whole-genome sequencing and genotyping a large cohort of affected and unaffected Doberman Pinschers. The same homozygous missense variant in AGRN (Dog 10K Boxer Tasha chr5:56,346,611,G>A; p.R1710H, XP 038377340.1) was associated with both disorders. AGRN encodes Agrin, an essential synaptic protein, that mediates clustering of acetylcholine receptors on the post-synaptic membrane at the neuromuscular junction. Variants in AGRN are associated with a congenital myasthenic syndrome (CMS) in humans. This is the first report of a CMS in dogs associated with an AGRN variant and expands the spectrum of known CMS genetic risk factors in this species. This study also highlights the importance of whole-genome sequencing (WGS) to accurately classify neuromuscular diseases as forms of CMS, which is not possible based on clinical presentation alone. Full article

Grade IV lateral patellar luxation is an advanced orthopedic condition that may be associated with severe skeletal deformities, chronic soft-tissue contracture, and irreversible loss of normal stifle function. Although reconstructive procedures are considered the treatment of choice in most dogs, some end-stage cases may not be amenable to conventional correction. This report describes the clinical presentation, surgical management, and long-term outcome of a young dog with severe bilateral grade IV lateral patellar luxation treated with single-stage bilateral stifle arthrodesis. A 1-year-old, 42-kg intact female Romanian Shepherd Dog was presented with chronic severe hindlimb dysfunction, crouched posture, and permanent bilateral patellar luxation. Orthopedic and radiographic examination revealed severe femoral valgus, proximal tibial varus, external tibial torsion, absence of a functional trochlear groove, marked caudal thigh muscle contracture, and severely restricted stifle extension. Computed tomography was considered but not performed because of financial limitations. Based on the severity of the deformities and the limited preoperative range of motion, conventional reconstructive procedures were considered unlikely to restore functional joint motion. Bilateral stifle arthrodesis was therefore performed during a single anesthetic event using tibial tuberosity osteotomy, temporary Kirschner-wire fixation, and bilateral 3.5-mm locking compression plates. Due to severe chronic soft-tissue contracture, final arthrodesis angles of 95° and 99° were achieved. Progressive clinical improvement and radiographic bone union were observed throughout follow-up. At 12 months, complete bilateral arthrodesis and implant stability were confirmed radiographically. At 24 months, the dog remained independently ambulatory with a markedly improved quality of life despite persistent mechanical gait abnormalities, including circumduction and intermittent bunny-hopping. This case suggests that bilateral stifle arthrodesis may represent a salvage option in carefully selected dogs with end-stage bilateral grade IV lateral patellar luxation when conventional reconstructive procedures are unlikely to restore useful limb function. Full article

Vision-based fall detection for smart-city CCTV must be fast, interpretable, and robust to nuisance alarms. In real surveillance scenes, false alarms are often caused by sitting, crouching, duplicate detections, short-lived pose noise, and brief posture changes that do not correspond to actual falls. This paper presents a lightweight CCTV fall-detection framework evaluated on URFD, Le2i, and UP-Fall. The proposed method combines teacher-guided distillation from ViTPose to a YOLO26s-pose student, custom person detection, full-body ROI extraction, nine interpretable posture features, Random Forest classification, tracking-based duplicate suppression, and post-event false-positive rejection. The distillation stage improves pose mAP50-95 from 66.8% to 70.9% and pose mAP50 from 88.9% to 91.2%. In the final stand/fall setting, Random Forest with false-positive rejection achieves 98.46% accuracy, 98.61% precision, 98.43% recall, and 98.52% F1-score. The main contribution of this work is a practical and interpretable surveillance framework that integrates distilled lightweight pose estimation, posture-based fall representation, and tracking-aware false-positive suppression for robust deployment-oriented fall detection. Full article

Background/Objectives: Ankle–foot orthoses (AFOs) are commonly used to improve gait in children with cerebral palsy (CP), but their effect on specific gait patterns is underreported. This study evaluates the utilization of the Gait Pattern Classification System for Children with Spastic CP (GaP-CP) to investigate the effects of ankle–foot orthoses on gait kinematics, spatio-temporal parameters and the energy cost of walking. Methods: In this retrospective study, 66 ambulatory children with spastic CP underwent 3D gait analysis with and without AFOs or functional electrical stimulation. Gait patterns were classified according to GaP-CP. AFOs were articulated, flexible, or rigid. Thirty-six children also performed a 5 min walk test with gas exchange measurements. Step length, walking speed, and the energy cost of walking were calculated. Gait kinematics were analyzed with statistical nonparametric mapping. Non-parametric statistics were used to investigate orthotic effects for the total group and for each gait pattern. Results: Ankle kinematics improved in swing phase and initial contact (10 degrees less plantarflexion, p < 0.05) for the total group, dropfoot and genu recurvatum. During the stance phase, reduced knee extension in genu recurvatum (by 3 degrees, p < 0.05) and increased knee extension in crouch (by 3 degrees, p < 0.05) were observed. Median changes in non-dimensional step length were clinically significant (>0.039, p ≤ 0.02, effect size ≥ 0.55) for the total group and the dropfoot, genu recurvatum, and crouch subgroups, while changes in most gait indices, walking speed and the energy cost of walking were not clinically significant. Conclusions: The combined use of GaP-CP and kinematic analysis provided new insights into the effects of ankle–foot orthoses on gait. Articulated and flexible orthoses may not have provided adequate support for genu recurvatum and crouch gait, showing a potential value in gait pattern specific orthotic design to optimize gait kinematics. Full article

The pediatric period is a crucial window for motor function learning and growth. Individuals with central nervous system injuries like cerebral palsy commonly display severe crouch gait in the lower limbs. Hyperflexion of the knee joints promotes the forward trunk and increases reliance on the handle frame of a walker for support. In this study, we developed a quantitative partial body weight training system integrated with a soft pneumatic exosuit to assist the knee extension during the stance phase of the gait cycle. In the preliminary results for five pediatric cerebral palsy subjects, compared to the baseline condition, excessive knee flexion ameliorated with the assistance of the soft pneumatic exosuit. The peak knee extension and range of motion increased by 19.72° (±3.47°) and 15.46° (±5.06°), respectively. With exosuit assistance, the subjects demonstrated improved gait retraining compared to baseline. They were able to bear significantly more body weight on their affected limb, as evidenced by a 33.3% increase in the fraction of body weight measured by the force plate. Additionally, they relied less on the handrail for support during walking. With more extended knee joints to bear the load over gravity, the pediatric subjects transferred the reliance from external support and upper limbs back to the lower limbs as a more independent status during the loading response to terminal stance. Full article

Game-farmed quails that are currently raised in captivity and released in hunting preserves are not attractive for many hunters because of their low antipredator instinct, which is due to the fact that in most cases, these farm-reared quails are hybrids between European common (Coturnix coturnix) and Japanese (Coturnix japonica) quails, with the latter having been selectively bred for docility. This study aimed at assessing the antipredator response of game-farmed and Japanese quails by performing three tests: human approach test, simulated aerial predator approach test and tonic immobility test. Thirty game-farmed quails (average body weight: 133 g) and thirty Japanese quails (323 g) were subjected to the tests. For each genotype of quail, fifteen males and fifteen females were used. In the human approach test, the distance at which quails moved was greater for game-farmed quails than for Japanese ones (37.4 vs. 19.6 m, p < 0.001). In the simulated aerial predator approach test, female quails of the Japanese species crouched down at the longest distance with respect to the predator (9.83 m), whereas no significant difference existed for this trait among the other three groups (6.84 m, on average). The percentage of quails flying when the predator got closer was higher for the Japanese species than for the game-farmed quails (23.3 vs. 3.33%, p = 0.023). Fewer inductions were needed to cause tonic immobility in the game-farmed quails than in the Japanese ones (3.10 vs. 4.10, p = 0.009), but then, the duration of the tonic immobility response did not differ significantly between the two genotypes. No effect of sex was detected in the human approach and tonic immobility tests. In conclusion, as compared with Japanese quails, game-farmed quails showed more fearful behaviour when confronted with a human being. Full article

This research proposes a framework for Eudaimonic well-being in destination competitiveness. This framework is based on the theoretical Ritchie and Crouch’s model (1993, 2000, 2003) and the recent theoretical notion that a travel trip may influence life satisfaction through tourists’ experiences. We conducted a qualitative study based on 34 in-depth interviews with key tourism stakeholders in Cape Verde, a small island developing country (SIDS) dependent on the tourism sector. The findings contribute to identifying specific sources of positive and negative effects that may affect the tourists’ and residents’ overall sense of well-being and thus affect the overall destination competitiveness. Full article

This paper presents a human-in-the-loop interactive framework for skeleton-based posture recognition, designed to support model training and artistic education. A total of 4870 labeled images are used for training and validation, and 500 images are reserved for testing across five core posture categories: standing, sitting, jumping, crouching, and lying. From each image, comprehensive skeletal features are extracted, including joint coordinates, angles, limb lengths, and symmetry metrics. Multiple classification algorithms—traditional (KNN, SVM, Random Forest) and deep learning-based (LSTM, Transformer)—are compared to identify effective combinations of features and models. Experimental results show that deep learning models achieve superior accuracy on complex postures, while traditional models remain competitive with low-dimensional features. Beyond classification, the system integrates posture recognition with a visual recommendation module. Recognized poses are used to retrieve matched examples from a reference library, allowing instructors to browse and select posture suggestions for learners. This semi-automated feedback loop enhances teaching interactivity and efficiency. Among all evaluated methods, the Transformer model achieved the best accuracy of 92.7% on the dataset, demonstrating the effectiveness of our closed-loop framework in supporting pose classification and model training. The proposed framework contributes both algorithmic insights and a novel application design for posture-driven educational support systems. Full article

The amount of space provided to laying hens has been an animal welfare topic of concern from consumers, special interest groups, and lawmakers. The freedom to perform normal behaviors is one component of animal welfare, and, therefore, the objective of this study was to assess behavior at different stocking densities. Shaver White laying hens were housed in colony cages at five stocking densities. Video recordings of three cages/treatment were taken at 30, 46, and 62 weeks of age in the morning, afternoon, and night. At each age, a 20 min segment of video from each time of day was analyzed. Every minute was annotated to identify the behavior that hens spent the majority of their time performing. Data were averaged to calculate the percentage of hens engaged in each behavior per cage. The total count of aggressive bouts was recorded across the 20 min period. Data were analyzed with a general linear model utilizing the variables time of day, density, age, and the full factorial of interactions. Intermediate stocking densities displayed the lowest percentage of crouching (p = 0.009) and aggressive acts per hen (p < 0.0001). Hens stocked at 1341.93 cm² walked the most (p < 0.0001). Hens were seen standing and preening (p < 0.0001) more in the morning, crouching and sham dust bathing (p < 0.0001) more in the afternoon, stretching less while feeding and drinking, and being more aggressive at night (p < 0.0001). Finally, as hens aged, they began to stand and crouch more (p < 0.0001) and preen (p = 0.013), walk (p < 0.0001), and demonstrate aggressive behaviors (p = 0.007) less. In conclusion, the majority of behaviors assessed were not influenced by stocking density. However, the different amounts of aggression between the treatments could indicate higher stress and frustration, which warrants more investigation. Full article

Background and Objectives: Kinematic and kinetic data from gait analysis are commonly used for clinical decision making in cerebral palsy (CP). However, these data may not fully capture the underlying causes of movement pathologies or effectively monitor post-treatment changes. Joint reaction forces (JRFs), estimated through simulation-based methods, provide valuable insights into the functional state of musculoskeletal components. Despite their importance, comprehensive evaluations of lower limb JRFs in CP are limited, and comparisons with typically developing (TD) individuals remain underexplored. This study aimed to provide a detailed comparison of lower limb JRFs between children with CP exhibiting mild crouch gait and age-matched TD children during self-selected walking speeds. Materials and Methods: Open-access gait datasets from eight children with CP and eight TD children were analyzed. A full-body musculoskeletal model was scaled to individual anthropometric data in OpenSim. Joint angles and moments were obtained using inverse kinematics and inverse dynamics, respectively. Ankle, knee, and hip JRFs were calculated using OpenSim’s Joint Reaction tool. Root-mean-square differences and Pearson correlation coefficients quantified the differences between CP and TD JRFs. Results: The anterior–posterior and vertical components of the hip JRFs in CP were lower than in TD children. CP knee JRFs exceeded TD values across all anatomical axes. For the ankle, the anterior–posterior JRF was lower in CP, whereas the vertical component was higher compared to TD. Conclusions: Children with CP experience distinct lower limb JRF patterns compared to TD children. While some findings align with previous studies, discrepancies in other components highlight the influence of model and patient-specific characteristics. These results emphasize the need for standardization in reporting patient data and systematic evaluations to improve the interpretation and applicability of JRF analyses in CP research and treatment planning. Full article

Flexible sensing materials have become a hot topic due to their sensitive electrical response to external force or temperature and their promising applications in flexible wear and human–machine interaction. In this study, a PDMS/capillary GaInSn flexible sensing material with high force and thermal sensitivity was prepared utilizing liquid metal (LM, GaInSn), flexible silicone capillary, and polydimethylsiloxane (PDMS). The resistance (R) of the flexible sensing materials under the action of different forces and temperatures was recorded in real-time. The electrical performance results confirmed that the R of the sensing material was responsive to temperature changes and increased with the increasing temperature, indicating its ability to transmit temperature signals into electrical signals. The R was also sensitive to the external force, such as cyclic stretching, cyclic compression, cyclic bending, impact and rolling. The ΔR/R₀ changed periodically and stably with the cyclic stretching, cyclic compression and cyclic bending when the conductive pathway diameter was 0.5–1.0 mm, the cyclic tensile strain ≤ 20%, the cyclic tensile rate ≤ 2.0 mm/min, the compression ratio ≤ 0.5, and the relative bending curvature ≤ 0.16. Moreover, the material exhibited sensitivity in detecting biological signals, such as the joint movements of the finger, wrist, elbow and the stand up-crouch motion. In conclusion, this work provides a method for preparing a sensing material with the capillary structure, which was confirmed to be sensitive to force and heat, and it produced different types of R signals under different deformations and different temperatures. Full article

Crouch gait, also referred to as flexed knee gait, is an abnormal walking pattern, characterized by an excessive flexion of the knee, and sometimes also with anomalous flexion in the hip and/or the ankle, during the stance phase of gait. Due to the fact that the amount of clinical data related to crouch gait are scarce, it is difficult to find studies addressing this problem from a data-based perspective. Consequently, in this paper we propose a gait recognition strategy using synthetic data that have been obtained using a polynomial based-generator. Furthermore, though this study, we consider datasets that correspond to different levels of crouch gait severity. The classification of the elements of the datasets into the different levels of abnormality is achieved by using different algorithms like k-nearest neighbors (KNN) and Naive Bayes (NB), among others. On the other hand, to evaluate the classification performance we consider different metrics, including accuracy (Acc) and F measure (FM). The obtained results show that the proposed strategy is able to recognize crouch gait with an accuracy of more than 92%. Thus, it is our belief that this recognition strategy may be useful during the diagnosis phase of crouch gait disease. Finally, the crouch gait recognition approach introduced here may be extended to identify other gait abnormalities. Full article