• International journal of advanced smart convergence
• /
• v.8 no.2
• /
• pp.39-46
• /
• 2019

Human mobility estimation plays a key factor in a lot of promising applications including location-based recommendation systems, urban planning, and disease outbreak control. We study the human mobility estimation problem in the case where recent locations of a person-of-interest are unknown. Since matrix decomposition is used to perform latent semantic analysis of multi-dimensional data, we propose a human location estimation algorithm based on matrix factorization to reconstruct the human movement patterns through the use of information of persons with correlated movements. Specifically, the optimization problem which minimizes the difference between the reconstructed and actual movement data is first formulated. Then, the gradient descent algorithm is applied to adjust parameters which contribute to reconstructed mobility data. The experiment results show that the proposed framework can be used for the prediction of human location and achieves higher predictive accuracy than a baseline model.

• Archives of design research
• /
• v.17 no.2
• /
• pp.23-32
• /
• 2004

This paper's objective is the analysis of eye-movement recording with visual perception process, the inference of heuristic guidelines with human information processing, and the generation of design principles for practical works. For this objective, it was experimented on that the user's eye-movement recording of interactive media with the Eyegaze Interface System, and analyzed the visual perception process of top-down & bottom-up processing, and inferred the design principles from human information process. Our results provide the implications of design through the analysis of the user's eye-movement recording that were changed according to each menu depth of the interactive media. And, it is proposed that the new concept of heuristic guidelines based on each stage of action that is related to human factors.

• ETRI Journal
• /
• v.44 no.2
• /
• pp.286-299
• /
• 2022

Human activity recognition in real time is a challenging task. Recently, a plethora of studies has been proposed using deep learning architectures. The implementation of these architectures requires the high computing power of the machine and a massive database. However, handcrafted features-based machine learning models need less computing power and very accurate where features are effectively extracted. In this study, we propose a handcrafted model based on three-dimensional sequential skeleton data. The human body skeleton movement over a frame is computed through joint positions in a frame. The joints of these skeletal frames are projected into two-dimensional space, forming a "movement polygon." These polygons are further transformed into a one-dimensional space by computing amplitudes at different angles from the centroid of polygons. The feature vector is formed by the sampling of these amplitudes at different angles. The performance of the algorithm is evaluated using a support vector machine on four public datasets: MSR Action3D, Berkeley MHAD, TST Fall Detection, and NTU-RGB+D, and the highest accuracies achieved on these datasets are 94.13%, 93.34%, 95.7%, and 86.8%, respectively. These accuracies are compared with similar state-of-the-art and show superior performance.

• Journal of rehabilitation welfare engineering & assistive technology
• /
• v.6 no.2
• /
• pp.71-76
• /
• 2012

The purpose of the present study was to compare and analyze differences in job satisfaction and quality of life in relation to the use of movement assisters among workers with severe and slight external physical disabilities and to analyze the effect of job satisfaction on the quality of life of disabled persons who use movement assisters. First, severely disabled persons who used movement assisters showed higher degrees of satisfaction with their work content, working environments, working hours, possibilities for development, communication, and human relations. On the other hand, slightly disabled persons who used movement assisters showed higher degrees of satisfaction only with their working environments. Second, severely disabled persons who used movement assisters perceived a higher quality of life in the areas of family, residence, and work. Slightly disabled persons who used movement assisters perceived a higher quality of life only in the area of family. Third, workers with external physical disabilities who used movement assisters had positive effects on their quality of life arising from job satisfaction in relation to income, job stability, working environments, working hours, possibilities for job development, communication, and human relations that is, a higher job satisfaction was correlated with a higher perceived quality of life.

• PNF and Movement
• /
• v.3 no.1
• /
• pp.47-53
• /
• 2005

Purpose : To describes the important aspects of scapular movement and function used when applying PNF technique to the upper limb and scapular. Method : The scapular was a very important roles in the upper limb movement. This study summarizes the physiologic movement of scapular to the PNF upper extremity patterns or scapular patterns. Result : The shoulder joint has the most freedom of range of motion in the human body, composed of the glenohumeral joint, the subacromial joint, the acromioclavical joint, the sternoclavicular joint, the scapulothoracic joint, the costosternal joint, and the costovertebral joint. During upper limb movement, the scapular position change at the sternoclavicular joint and the acromioclavical joint. This concerted motion was characterized by scapulohumeral rhythm. In clinical situations, it is import to understand factors affect the scapulohumeral rhythm so that optimal evaluation and therapeutic intervention can be devised. Conclusions : The scapular movement depend on the proper and coordinated contraction of muscles. Physical therapists need to understand the normal scapular movement relationships of the scapulohumeral rhythm under different interventions for PNF techniques application.

• 한국HCI학회:학술대회논문집
• /
• 2009.02a
• /
• pp.2083-2085
• /
• 2009

Brain Computer Interface (BCI) is a communication pathway between devices (computers) and human brain. It treats brain signals in real-time basis and discriminates some information of what human brain is doing. In this work, we develop a EEG BCI system using a feature extraction such as common spatial pattern (CSP) and a classifier using Fisher linear discriminant analysis (FLDA). Two-class EEG motor imagery movement datasets with both cued and uncued are tested to verify its feasibility.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.30 no.6 s.154
• /
• pp.992-1000
• /
• 2006

The main purpose of this research is to develop the methodology of objective evaluation of clothing appearance by eye movement analysis. The visual clothing items used in this study were skirt, one-piece, pants and shirt with the style variation of silhouette and details. By observing eye movement during visual evaluation of clothing, we can achieve the basic fixation data of eye movement. Moreover, we developed the Matlab program to extract the fixation coordinate and number of eye fixation on each part of the clothing item. As results, there were differences in the duration of fixation time for each item and the fixation time was not different by styles within a clothing item. However, we could find differences in the fixation time within a style, in other words, we could select the important parts of the clothing by observing the fixation time in a certain clothing item. It is also noted that time required in visual information processing differs depending on the item, and there was a region which contain more information independent with styles in the same item. By developing the objective method of visual evaluation that correspond to human's visual information processing, the results are expected to be applied in the retrieval program in internet shopping mall or in the development of contents for advertisement of clothing.

• Journal of Korea Multimedia Society
• /
• v.19 no.1
• /
• pp.68-79
• /
• 2016

Electromyographic (EMG) signals have been widely used as motion commands of prosthetic arms. Although EMG signals contain meaningful information including the movement intentions of human body, it is difficult to predict the subject's motion by analyzing EMG signals in real-time due to the difficulties in extracting motion information from the signals including a lot of noises inherently. In this paper, four Ag/AgCl electrodes are placed on the surface of the subject's major muscles which are in charge of four upper arm movements (wrist flexion, wrist extension, ulnar deviation, finger flexion) to measure EMG signals corresponding to the movements. The measured signals are sampled using DAQ module and clustered sequentially. The Fuzzy C-Means (FCMs) method calculates the center values of the clustered data group. The fuzzy system designed to detect the upper arm movement intention utilizing the center values as input signals shows about 90% success in classifying the movement intentions.

• Journal of the Korean Society of Costume
• /
• v.58 no.9
• /
• pp.166-175
• /
• 2008

For the structural firefighting protective clothing, it can show a synergy effect when it satisfies smart fabric to block off a harmful environmental element and ergonomics design that apply range of motion of human body and appropriate size system. There are various standards about the structural firefighting protective clothing, but it's difficult to find a rule about movement suitability because the performance of the material holds a lot of the rules. Therefore, the purpose of this study is to propose a scheme to evaluate the current structural firefighting protective clothing and to improve movement suitability by research on the actual condition. For this, the survey about wearer acceptability scale on design and size and about improvement requirements was executed gathering firefighters' opinion. Questionnaire was composed with 23 items about satisfaction on current structural firefighting protective clothing, body suitability, movement suitability, improvement requirement and subjective information. As a results, Korean firefighters demand ergonomics design of structural firefighting protective clothing which to minimize restriction of body movement and to maximize body suitability.

• Clinical and Experimental Reproductive Medicine
• /
• v.27 no.4
• /
• pp.393-403
• /
• 2000

Objective: To investigate the effects of ROS on kinematic parameters in human spermatozoa. To verify the changes in above parameters, human spermatozoa were incubated with xanthine-xanthine oxidase (X-XO), $H_2O_2$, sodium nitroprusside (SNP) or lymphocyte. Otherwise, spemlatozoa were incubated under low $O_2 (5%) condition. Methods: CASA was employed to analyze sperm motion parameters. Results: Under $H_2O_2 treatment, all kinematic parameters of spermatozoa were dramatically increased during 30 min, but gradually decreased thereafter. Under the low concentration of $H_2O_2 (125 ${\mu}M$ and 250 ${\mu}M$), the movement velocity (VAP, VCL, VSL) decreased, but forward movement increased. Under the 1mM $H_2O_2, sperm showed reduced kinematic parameters except during first 30 min of incubation. In the cases of X-XO and SNP treatment, the movement velocity increased but the forward movement reduced. After incubation for 3 hr treatment, the kinematic parameters gradually decreased in high concentration of X-XO. However these parameters maintained or increased in low concentration of X-XO. There was no obvious changes in the above parameters in the high concentration of SNP. In the presence of high concentration of lymphocytes, all parameters decreased. Under the 5% $O_2 condition, the parameters of the movement velocity and movement pattern increased, but forward movement decreased. Taken togethers, it suggested that ROS increased the movement velocity but decreased the forward movement and lateral head replacement. $H_2O_2, X-XO, SNP and lymphocyte treatment significantly increased capacitated spermatozoa within I h of incubation. There was no significant difference in capacitation between low- and high $O_2 group. Conclusion: The early onset of capacitation in the presence of ROS suggest that ROS might be a positive regulator of sperm capacitation and hyperactivation. These results demonstrate that low concentration ROS facilitates the movement velocity but high concentration ROS was inhibitory.