Movement In Daily Life Research Articles

A Large Harmonized Upper and Lower Limb Accelerometry Dataset: A Resource for Rehabilitation Scientists.

Wearable sensors can measure movement in daily life, an outcome that is salient to patients, and have been critical to accelerating progress in rehabilitation research and practice. However, collecting and processing sensor data is burdensome, leaving many scientists with limited access to such data. To address these challenges, we present a harmonized, wearable sensor dataset that combines 2,885 recording days of sensor data from the upper and lower limbs from eight studies. The dataset includes 790 individuals ages 0 - 90, nearly equal sex proportions (53% male, 47% female), and representation from a range of demographic backgrounds (69.4% White, 24.9% Black, 1.8% Asian) and clinical conditions (46% neurotypical, 31% stroke, 7% Parkinson's disease, 6% orthopedic conditions, and others). The dataset is publicly available and accompanied by open source code and an app that allows for interaction with the data. This dataset will facilitate the use of sensor data to advance rehabilitation research and practice, improve the reproducibility and replicability of wearable sensor studies, and minimize costs and duplicated scientific efforts.

Perkembangan Sosial Emosional Anak Usia Dini Dalam Penggunaan Gadget

Currently, technological advancements are progressing rapidly, and various modern inventions are aimed at enchancing human mobility and freedom of movement in daily life. One example of rapidy developing technology is gadgets. This journal aims to understand the impact of gadgets in the socio-emotional development of young children. The authors of this journal employed a literature review research method. The use of gadgets in early childhood has a significant impact on their socio-emotional deveploment, both positive and negative, depending on the duration, content, and contet of usage

Human Joint Angle Estimation Using Deep Learning-Based Three-Dimensional Human Pose Estimation for Application in a Real Environment.

Human pose estimation (HPE) is a technique used in computer vision and artificial intelligence to detect and track human body parts and poses using images or videos. Widely used in augmented reality, animation, fitness applications, and surveillance, HPE methods that employ monocular cameras are highly versatile and applicable to standard videos and CCTV footage. These methods have evolved from two-dimensional (2D) to three-dimensional (3D) pose estimation. However, in real-world environments, current 3D HPE methods trained on laboratory-based motion capture data encounter challenges, such as limited training data, depth ambiguity, left/right switching, and issues with occlusions. In this study, four 3D HPE methods were compared based on their strengths and weaknesses using real-world videos. Joint position correction techniques were proposed to eliminate and correct anomalies such as left/right inversion and false detections of joint positions in daily life motions. Joint angle trajectories were obtained for intuitive and informative human activity recognition using an optimization method based on a 3D humanoid simulator, with the joint position corrected by the proposed technique as the input. The efficacy of the proposed method was verified by applying it to three types of freehand gymnastic exercises and comparing the joint angle trajectories during motion.

Effects of Upper Limb Control on the Less-Affected Side on Upper Limb Function, Respiration, Balance, and Activities of Daily Living in Stroke.

Background and Objectives: This study aimed to investigate the effects of upper limb control exercises on upper limb function, respiration, balance, and activities of daily living in patients with stroke. Materials and Methods: The 28 patients who met the selection criteria were randomly assigned to two groups of 14 patients each. Subsequently, upper limb control exercises using real-time feedback were applied. The same interventional exercise was applied to both the less-affected and affected limbs of the study participants, who were classified into a less-affected side upper limb control group and an affected side upper limb control exercise group. Interventional exercises, 30 min each, were performed five times weekly for 4 weeks, and follow-up examinations were performed 2 weeks after the end of exercise. Electronic muscle strength measurements and an electronic goniometer were used to evaluate upper limb function. A spirometer was used to measure respiration. Balance ability was evaluated using a force plate pressure distribution measuring system with a sensor that detects the movement of the body center on the ground. Daily life movements were evaluated using the Korean version of the modified Barthel index. Results: When examining the results, the upper limb function on the paralyzed side showed an increase in the electromyographic strength of shoulder joint depression and flexion angle. Improvements were also observed in respiration (forced vital capacity [L] and forced expiratory volume in 1 s [L]), balance (95% confidence ellipse area [mm2] and center of pressure displacement [mm]), and daily life activities, all of which showed statistically significant differences in the time × group interaction effect (p < 0.05). Conclusions: Thus, it was found that the upper limb control exercise on the less-affected side had a significant effect when the exercise was performed together with treatment on the affected side in patients with stroke. It is anticipated that this study will provide basic data for evaluating both the trunk and upper limbs of the less-affected and affected sides.

Age-related differences in finger interdependence during complex hand movements.

The well-known decrease in finger dexterity during healthy aging leads to a significant reduction in quality of life. Still, the exact patterns of altered finger kinematics of older adults in daily life are fairly unexplored. Finger interdependence is the unintentional comovement of fingers that are not intended to move, and it is known to vary across the lifespan. Nevertheless, the magnitude and direction of age-related differences in finger interdependence are ambiguous across studies and tasks and have not been explored in the context of daily life finger movements. We investigated five different free and daily-life-inspired finger movements of the right, dominant hand as well as a sequential finger tapping task of the thumb against the other fingers, in 17 younger (22-37 yr) and 17 older (62-80 yr) adults using an exoskeleton data glove for data recording. Using inferential statistics, we found that the unintentional comovement of fingers generally decreases with age in all performed daily-life-inspired movements. Finger tapping, however, showed a trend towards higher finger interdependence for older compared with younger adults. Using machine learning, we predicted the age group of a person from finger interdependence features of single movement trials significantly better than chance level for the daily-life-inspired movements, but not for finger tapping. Taken together, we show that for specific tasks, decreased finger interdependence (i.e., less comovement) could potentially act as a marker of human aging that specifically characterizes older adults' complex finger movements in daily life.NEW & NOTEWORTHY Kinematic finger movement data were analyzed with regard to age-related differences. Extensive analyses of complex and daily-life-inspired movements reveal that the direction of age effects is not uniform but task-dependent: Although older adults generally show more finger interdependence than younger adults in a simple finger tapping task, this effect is reversed for daily-life-inspired movement tasks. For these tasks, finger interdependence indices offer potential new markers to predict the age group of an individual using machine learning approaches.

Fully Polymeric Conductive Hydrogels with Low Hysteresis and High Toughness as Multi‐Responsive and Self‐Powered Wearable Sensors

AbstractHigh mechanical strength, excellent toughness, low hysteresis, and robust resilience are of great importance for stretchable conductive hydrogels (CHs) to heighten their reliabilities for self‐powered sensing applications. However, it still remains challenging to simultaneously obtain the mutually exclusive performances. Herein, an intrinsically conductive and adhesive hydrogel is fabricated by one‐step radical polymerization of acrylamide (AAm), three hydroxy groups together clustered‐N‐[tris(hydroxymethyl)methyl]acrylamide (THMA), and cationic 1‐Butyl‐3‐Vinylimidazolium Bromide (ILs) dissolved in core‐shell structurally dispersed PEDOT:PSS (PP) solution. Owing to abundant clustered hydrogen bonds, electrostatic interactions between PILs chains and anionic PSS shells, and polymer chain entanglements, the CHs feature superior mechanical properties with a high tensile strength (0.25 MPa), fracture strain (1015%), fracture toughness (1.22 MJ m‐3), fracture energy of 36.5 kJ m‐2 and extremely low hysteresis (5%), and display excellent resilience and fatigue resistance. As a result, the CHs indicate excellent sensing properties with a gauge factor up to 10.46, a broad sensing range of strain (1‐900%) and pressure (0.05‐100 kPa), and fast responsive rate, thus qualifying for monitoring reliably and accurately large and tiny human movements in daily life. Moreover, the hydrogel‐assembled triboelectric nanogenerators (TENGs) exhibit excellent and stable electrical output performances, which are greatly promising in self‐powered flexible wearable electronics.

Design and Evaluation of the Sit-to-Stand Movement Assistive Device for Elderly

The act of standing up is one of the most important movements in daily life, but it often poses challenges for elderly individuals with declining physical functions. To address this issue, we have designed an assistive device for sit-to-stand (STS) movement. This device aids the upper limbs, allowing them to bear some of the weight during the STS movement, thereby improving the force distribution on the lower limbs and enhancing the stability of the body during movement. The connection to the user is very straightforward; one simply needs to place their hands and arms on the lifting mechanism to connect, and after the STS movement is completed, the user can easily disengage, making it very convenient to use. The device is compact, equipped with wheels and a handle, allowing it to be flexibly moved and used in confined spaces such as bedrooms, bathrooms, and balconies. ADAMS-LifeMOD simulations indicate that the use of the STS movement assistive device can significantly improve the force distribution across the joints of the lower limbs and reduce the pressure on the soles of the feet against the ground. Subsequently, a prototype was built, and four volunteers were invited to conduct further experimental validation, comparing the changes in plantar pressure during the STS movement with and without the assistive device, as well as the subjective feelings of the users. The experimental results demonstrate that the device can effectively help users to stand up more easily.

A wearable sensor and framework for accurate remote monitoring of human motion

Remote monitoring and evaluation of human motion during daily life require accurate extraction of kinematic quantities of body segments. Current approaches use inertial sensors that require numerical time differentiation to access the angular acceleration vector, a mathematical operation that greatly increases noise in the acceleration value. Here we introduce a wearable sensor that utilises a spatially defined cluster of inertial measurement units on a rigid base for directly measuring the angular acceleration vector. For this reason, we used computational modelling and experimental data to demonstrate that our new sensor configuration improves the accuracy of tracking angular acceleration vectors. We confirmed the feasibility of tracking human movement by automatic assessment of experimental fall initiation and balance recovery responses. The sensor therefore presents an opportunity to pioneer reliable assessment of human movement and balance in daily life.

Static and dynamic airflow and contaminant transport in a full-scale elevator-lobby mockup

Elevators facilitate people's movement in daily life. The confined space with high population density in elevators, however, assists the transmission of infectious diseases. To study disease transmission under various transit and boarding-period scenarios, this study used a full-scale elevator mockup with a connected lobby area. This investigation measured both static and dynamic distributions of air velocity/temperature and contaminant concentration. The static experiment involved the closed elevator cabin with mixed ventilation, while the dynamic measurements were conducted in the elevator with the door open to the adjacent lobby area when a passenger exited the elevator. The dynamic experiment showed that high-frequency instruments and better background airflow design could increase the data quality. The experimental data was then used to validate a computational fluid dynamics (CFD) model. This study compared the average and individual experimental data to minimize the uncertainties caused by the initial conditions and instrument limitations. The simulation results revealed that an in-transit elevator cabin is characterized by relatively uniform distributions of air temperature and contaminant concentration. The airflow in the dynamic case was greatly affected by the wake generated by passenger movement. This wake effect was short in duration, but it drew contaminants farther along the direction of movement.

ISOTEMPORAL SUBSTITUTION OF 24-HOUR MOVEMENT BEHAVIOR AND FRAILTY STATUS IN OLDER ADULTS

Abstract Background Properly distributing twenty-four hours (24-h) movement in daily life may provide older individuals chances to prevent frailty. This study aimed to investigate the effects of replacing sedentary behavior (SB) with light physical activity (LPA) and moderate to vigorous physical activity (MVPA) on risks of pre-frailty and frailty in older adults. Methods We recruited 196 older adults (48.5% men; 80.3 ± 7.1 years old) to wear a triaxial accelerometer on the waist. Pre-frailty and frailty were assessed by a modified version of Fried’s criteria. Isotemporal substitution analysis was performed to investigate the association between 24-h movement and risks of pre-frailty and frailty. Results After adjusting confounding variables, the results also indicated that only reallocating 60minutes of SB per day to MVPA was less likely to have pre-frailty (OR = 0.01, 95% CI = 0.01, 0.20) and frailty (OR = 0.02, 95% CI = 0.02, 0.36). In addition, each 5-min increment in MVPA from 20 min as part of total physical activity (40 min in LPA) to replace 60 minutes of SB per day resulted in being less likely to have frailty (OR = 0.546, 95% CI= 0.301, 0.992). Conclusions This study demonstrated that using 60-min MVPA to substitute SB daily may theoretically reduce the risk of being pre-frailty and frailty. Moreover, replacing 60-min SB daily with mixed 40-min LPA and 20-min MVPA was able to reduce frailty risks. Therefore, those findings may provide alternative approaches with acceptable intensity and feasibility when promoting the physical health of older adults.

Translating scientific recommendations into reality: a feasibility study using group-based high-intensity functional exercise training in adolescents with cerebral palsy

Purpose To examine the feasibility and effects of a functional high-intensity exercise intervention performed in a group-setting on functionality, cardiovascular health and physical performance in adolescents with cerebral palsy (CP). Methods Ten adolescents with a diagnosis of CP (2 females; 16.6 ± 3.4 years; GMFCS: I-II) participated in a 12-week training intervention, containing progressive resistance training using free weights and high-intensity workouts twice a week. The six-minute walking test, arterial stiffness and physical performance (strength and power tests) were measured before and after the intervention. Results No adverse events were reported. We measured small increases in the six-minute walking test (Δ = 28.8 m, 95% CI [-1.78;52.7]; g = 0.34 [-0.04;0.72]) and a small reduction in arterial stiffness (Δ = −4.65% [-10.90;1.25]; g = −0.46 [-1.36;0.21]). All measures of physical performance increased (0.24 ≤ g ≤ 0.88). Conclusion Functional training with free weights in high-functioning adolescents with CP is safe and effective in increasing parameters of physical performance and cardiovascular health. Positively influenced indicators of everyday independence (i.e. strength parameters) showed a transfer into movements of daily life. Concerns about adverse events through high-intensity training in adolescents with CP appear unjustified when training is performed progressively, following basic training principles.

Kinematic Comparison Between Walking and Jogging in The Lower Limbs Joints

Background Walking and jogging are considered two of the most important movements in human daily life. However, no previous studies have been conducted comparing the kinematics between these two movements. Research questions Are there any differences in joint kinematics of the lower limbs when walking and jogging? Methods Thirteen healthy males participated in this study with a mean age of 31.6 years. A motion capture system was used to collect walking and jogging movements in the lower limbs. The joint angles in hip, knee and ankle were compared between two movements. Statistical method was the repeated measurement of general linear model. Results The main finding was a significant difference between walking and jogging in the hip and ankle in sagittal plane in the knee in the transverse plane. During the entire gait cycle, the hip max extension in walking were roughly 9 deg larger than in jogging, but hip max flexion in walking were roughly 4 deg smaller than in jogging; as whole in the sagittal plane, the range of motion in the hip was larger in walking than in jogging by roughly 12%. Knee angles in the transverse plane were significantly greater in jogging than in walking by roughly 6 deg or 26% while similar in the sagittal plane. The ankle had larger range of motion in jogging than in walking by roughly 10 deg or 22% in the sagittal plane. Significance The study results demonstrate that jogging has not increased hip range of motion in the sagittal plane, but increased knee rotation in transverse plane largely in compared with walking. Moreover, jogging required greater flexibility at the ankle. The findings indicate that the protection of injury needs to pay more attention to the knee and ankle.

Prior Movement of One Arm Facilitates Motor Adaptation in the Other.

Many movements in daily life are embedded in motion sequences that involve more than one limb, demanding the motor system to monitor and control different body parts in quick succession. During such movements, systematic changes in the environment or the body might require motor adaptation of specific segments. However, previous motor adaptation research has focused primarily on motion sequences produced by a single limb, or on simultaneous movements of several limbs. For example, adaptation to opposing force fields is possible in unimanual reaching tasks when the direction of a prior or subsequent movement is predictive of force field direction. It is unclear, however, whether multilimb sequences can support motor adaptation processes in a similar way. In the present study (38 females, 38 males), we investigated whether reaches can be adapted to different force fields in a bimanual motor sequence when the information about the perturbation is associated with the prior movement direction of the other arm. In addition, we examined whether prior perceptual (visual or proprioceptive) feedback of the opposite arm contributes to force field-specific motor adaptation. Our key finding is that only active participation in the bimanual sequential task supports pronounced adaptation. This result suggests that active segments in bimanual motion sequences are linked across limbs. If there is a consistent association between movement kinematics of the linked and goal movement, the learning process of the goal movement can be facilitated. More generally, if motion sequences are repeated often, prior segments can evoke specific adjustments of subsequent movements.SIGNIFICANCE STATEMENT Movements in a limb's motion sequence can be adjusted based on linked movements. A prerequisite is that kinematics of the linked movements correctly predict which adjustments are needed. We show that use of kinematic information to improve performance is even possible when a prior linked movement is performed with a different limb. For example, a skilled juggler might have learned how to correctly adjust his catching movement of the left hand when the right hand performed a throwing action in a specific way. Linkage is possibly a key mechanism of the human motor system for learning complex bimanual skills. Our study emphasizes that learning of specific movements should not be studied in isolation but within their motor sequence context.

Optimization of the Position and Stiffness of Passive Walking Assistance Devices

Walking is a fundamental movement in daily life; however, many factors affect walking that may reduce the mobility of the people. Walking assistance devices can help with gaining mobility back for people who suffer from walking problems. In the present study, a computational method to determine the location and stiffness of the assistive walking systems was developed. The human walking model was created by using nine rigid bodies and eight revolute joints connecting them in the sagittal plane. The walking assistance system was considered as a tension spring with both ends attached to the human walking model. A coordinate system was defined along the distal–proximal direction of the human body. The position of the walking assistance system was determined by using four design variables, and the optimal position of the assistive walking system to reduce the total positive joint energy was found around the hip joint at a walking speed of 1.3 m/s. Hip joint moment and power were significantly affected by the walking assistance system, and the total positive joint energy was reduced by 8.8%. Because walking speed significantly affects walking kinematics and kinetics, the effect of walking speed on the optimal walking assistance device was investigated. The position of the device was kept the same, and the optimal stiffness and free length of the spring were found at different walking speeds. Two different cases were considered: a speed-specific design in which stiffness characteristics were separately optimized for each speed and a general design in which stiffness characteristics were optimized by considering all walking speeds. It was found that, in both cases, hip joint moment and power significantly reduced, and the speed-specific design produced a slightly larger reduction in total joint energy. The performance of the walking assistance systems in both cases were found to be higher at faster walking speeds.

Associations in time between salivary cortisol and emotions in depressed patients and controls

IntroductionDepression can be understood as a complex dynamic system, where depressive symptoms can directly affect each other. Knowledge on this symptom-symptom interaction is still scarce and is likely to differ between individuals. The hypothalamic-pituitary-adrenal (HPA) axis is often implicated in depression, with hypercortisolism and impaired glucocorticoid receptor-mediated feedback inhibition being commonly reported. High salivary cortisol levels may reflect a reaction to symptoms, or may rather be a cause, effectively ‘binding’ symptoms.ObjectivesWe aimed to analyze the temporal interplay between salivary cortisol and emotions in depressed patients and controls by using the novel Dynamic Time Warp analysis (DTW) approach.MethodsThe ‘Mood and movement in daily life’ (MOOVD) study consisted of 30 pair-matched (15 depressed and 15 control) participants. Salivary cortisol was collected three times a day for 30 days, resulting in 90 measurements per individual. At the same moments, participants completed questionnaires on an electronic diary, which included different momentary positive (PA) and negative (NA) affect items. The dynamic interplay between salivary cortisol and affect were analyzed by DTW, which extends momentarily associations to include one earlier and one later time point, in both undirected and directed analyses.ResultsIndividual networks differed substantially within groups. At the group level, undirected and directed network analyses showed differences between depressed patients and controls. In undirected analysis, connectivity of PA items was comparable between depressed patients and controls, but the NA items showed a less dense network in depressed patients. Directed DTW analyses indicated (p = 0.07) that increases in salivary cortisol preceded that of some NA items (e.g., tiredness) in controls, but tended to follow upon NA item increase (e.g., not feeling appreciated) in depressed patients.ConclusionsAt the group level, connectiveness between NA items was substantially weaker in depressed patients compared to controls. As in complex systems strong internal connectivity facilitates “critical transitions” to different states, this may reflect (or explain) the persistence of a chronically depressed state. We preliminary conclude that high salivary cortisol in depression may be a consequence of NA, rather than a cause. Replication of these first exploratory findings are needed.Disclosure of InterestNone Declared

Perceived vs. observed mHealth behavior: A naturalistic investigation of tracking apps and daily movement

Research on mHealth apps provides mixed evidence regarding their effectiveness for behavior change, including physical activity. Synthesizing prior perspectives, we test predictors of tracking app and physical activity intentions (Study 1; n = 658) and their links to everyday mobility (Study 2; n = 418; n = 27,617,440 observations). Study 1 showed that individuals have overlapping perceptions of tracking apps and physical activity. Taking a naturalistic mobile sensing approach, Study 2 found that tracking app and physical activity intentions predicted self-reported physical activity – but not logged movement (i.e., walking, cycling, or running). Tracking app use was not related to the level of logged movement in daily life. However, participants who regularly used tracking apps were more likely to view them as impactful, suggesting that daily mHealth app use is related to perceived (vs. observed) behavior change. Together, our studies illuminate how perceptions of mobility and mobile media – and their effects – can become intertwined in users’ minds.

A comprehensive analysis of sit‐to‐stand movement in a living space involving principal component analysis

AbstractSit‐to‐stand (STS) movement is a frequently performed activity of daily living. The analysis of STS movement can lead to the early detection of a decline in physical functioning. There is thus interest in home‐based STS monitoring systems. The present study (1) extracted universal differences by age group in common STS movements of daily life and (2) clarified where the differences between age groups lie in the sequence of movements. We experimented to measure the three patterns of STS movement assumed to be performed in living spaces. Ten young adults and seventeen elderly people participated. Data were acquired by an Azure Kinect DK, an RGB‐D camera, and converted into angles and angular velocities of the major body segments. Principal component analysis was applied to the overall time series data. From the synthesized principal component space, principal components with significant differences between the elderly and young‐adult groups were extracted, and the movements of the elderly participants were evaluated. We found parameters and movement strategies that show the characteristics of each age group for each movement pattern. The results of this study can contribute to the design of home‐based STS monitoring systems.

Factors Influencing Caregiver Burden During Rehabilitation of Stroke Patients

In this study, we aimed to determine which medical conditions of the stroke patients admitted for rehabilitation more than four weeks after onset affect caregiver burden. Participants diagnosed with stroke and their respective primary caregivers were enrolled and assessed after an 8-week follow-up period. The areas of evaluation for stroke patients included neurologic state, cognition, performance in daily life movements, gait, and balance, and caregivers were evaluated in the area of burden. The evaluation was conducted at the start of the rehabilitation course and eight weeks later. Patient caregivers were found to be under mild to moderate burden while providing care throughout the hospitalization period. The patient's neurologic state and cognition were correlated with caregiver burden. In the all patient and the subacute stroke patient group, multiple regression analysis confirmed that the neurologic state and balance stability were factors that influenced caregiver burden. Hence, we suggest that improvement in the patient’s balance stability be emphasized during the course of rehabilitation to mitigate caregiver burden.

Natural grasping movement recognition and force estimation using electromyography.

Electromyography (EMG) generated by human hand movements is usually used to decode different action types with high accuracy. However, the classifications of the gestures rarely consider the impact of force, and the estimation of the grasp force when performing natural grasping movements is so far overlooked. Decoding natural grasping movements and estimating the force generated by the associated movements can help patients to improve the accuracy of prosthesis control. This study mainly focused on two aspects: the classification of four natural grasping movements and the force estimation of these actions. For this purpose, we designed an experimental platform where subjects could perform four common natural grasping movements in daily life, including pinch, palmar, twist, and plug grasp, to complete target profiles. On the one hand, the results showed that, for natural grasping movements with different levels of force (three levels at 20, 50, and 80%), the average accuracy could reach from 91.43 to 97.33% under five classification schemes. On the other hand, the feasibility of force estimation for natural grasping movements was demonstrated. Furthermore, in the process of force estimation, we confirmed that the regression performance about plug grasp was the best, and the average R 2 could reach 0.9082. Besides, we found that the regression results were affected by the speed of force application. These findings contribute to the natural control of myoelectric prosthesis and the EMG-based rehabilitation training system, improving the user's experience and acceptance.

Reliability and agreement of Azure Kinect and Kinect v2 depth sensors in the shoulder joint range of motion estimation.

Depth sensor-based motion analysis systems are of interest to researchers with low cost, fast analysis capabilities, and portability; thus, their reliability is a matter of interest. Our study examined the agreement and reliability in estimating the basic shoulder movements of Azure Kinect, Microsoft's state-of-the-art depth sensor, and its predecessor, Kinect v2, by comparing them with the gold standard marker-based motion analysis system. In our study, the shoulder joint ranges of motion of 20 healthy individuals were analyzed during dominant-side flexion, abduction, and rotation movements. The reliability and agreement between methods were evaluated using the intraclass correlation coefficient (ICC) and the Bland-Altman method. Compared to the gold standard method, the old- and new-generation Kinect showed similar performance in terms of reliability in the estimation of flexion (ICC=0.86 vs. 0.82) and abduction (ICC=0.78 vs. 0.79) movements, respectively. In contrast, the new-generation sensor showed higher reliability than its predecessor in internal (ICC=0.49 vs. 0.75) and external rotation (ICC=0.38 vs. 0.67) movement. Compared to its predecessor, Kinect Azure has higher reliability in analyzing movements in a lower range and variability, thanks to its state-of-the-art hardware. However, the sensor should also be tested on multiaxial movements, such as combing hair, drinking water, and reaching back, which are the tasks that simulate extremity movements in daily life.