• Title/Summary/Keyword: Arm training

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Study on Design of Fingerprint Recognition Embedded System using Neural Network

  • Kim, Dong Han;Kim, Jung Hoon;Lee, Sang Hae
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.4 no.3
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    • pp.347-352
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    • 2004
  • We generated blocks from the direction-extracted fingerprint during the pre-process of the fingerprint recognition algorithm and performed training by using the direction minutiae of each block as the input pattern of the neural network, so that we extracted the core points to use in the matching. Based on this, we designed the fingerprint recognition embedded system and tested it by using the control board and the serial communication to utilize it for a variety of application systems. As a result, we can verify the reliance satisfactorily.

Edge Impulse Machine Learning for Embedded System Design (Edge Impulse 기계 학습 기반의 임베디드 시스템 설계)

  • Hong, Seon Hack
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.17 no.3
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    • pp.9-15
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    • 2021
  • In this paper, the Embedded MEMS system to the power apparatus used Edge Impulse machine learning tools and therefore an improved predictive system design is implemented. The proposed MEMS embedded system is developed based on nRF52840 system and the sensor with 3-Axis Digital Magnetometer, I2C interface and magnetic measurable range ±120 uT, BM1422AGMV which incorporates magneto impedance elements to detect magnetic field and the ARM M4 32-bit processor controller circuit in a small package. The MEMS embedded platform is consisted with Edge Impulse Machine Learning and system driver implementation between hardware and software drivers using SensorQ which is special queue including user application temporary sensor data. In this paper by experimenting, TensorFlow machine learning training output is applied to the power apparatus for analyzing the status such as "Normal, Warning, Hazard" and predicting the performance at level of 99.6% accuracy and 0.01 loss.

Training Loading Arm Simulator using IOT Digital Twin (IOT 디지털트윈을 이용한 교육용 로딩암 시뮬레이터)

  • NA, Dumin;Lee, Hyunseok;Joo, Sehwan;Yoon, Minseok;Lim, Yubeen;Kim, Jeong-Min
    • Proceedings of the Korea Information Processing Society Conference
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    • 2020.11a
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    • pp.331-334
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    • 2020
  • 항만에서 액체화물 취급이 증가함에 따라 로딩암의 사용빈도가 늘어나고 있다. 이에 본 논문에서는 로딩암 교육생들이 실전에 투입되기 전에 충분히 교육할 수 있도록 교육용 시뮬레이션을 제시한다. 그와 더불어 시뮬레이션과 연동되는 로딩암모형의 디지털트윈 연동을 통해, 교육생들의 로딩암 조종기술 향상을 이루어, 보다 안전한 로딩암작업과 항만의 액체화물사고 빈도를 크게 줄일 것으로 기대한다.

Brachial Plexus Injury after Deep Sleep (깊은 수면 이후 발생한 상완신경총 손상)

  • Kwak, Jung Min;Choi, Jun Ho;Park, Dong Yoon
    • Clinical Pain
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    • v.18 no.1
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    • pp.44-47
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    • 2019
  • Lying on the side while falling asleep deeply after drinking or taking a sleeping pill can cause compressive neuropathy. We report a 70-year-old male patient of medial cord of left brachial plexus injury (BPI) after deep sleep. The mechanism of the injury might be compression and stretching of brachial plexus. The electrodiagnostic study was performed and the medial cord lesion of BPI was suggested. The ultrasonography image of compression site revealed the nerve swelling of medial cord of brachial plexus and median nerve at the mid-arm level. Pharmacologic treatment including oral prednisolone and exercise training were prescribed. On 6 months after initial visit, neurologic symptom and pain were improved but mild sequelae was remained.

A Real-Time Embedded Speech Recognition System (실시간 임베디드 음성 인식 시스템)

  • 남상엽;전은희;박인정
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.40 no.1
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    • pp.74-81
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    • 2003
  • In this study, we'd implemented a real time embedded speech recognition system that requires minimum memory size for speech recognition engine and DB. The word to be recognized consist of 40 commands used in a PCS phone and 10 digits. The speech data spoken by 15 male and 15 female speakers was recorded and analyzed by short time analysis method, which window size is 256. The LPC parameters of each frame were computed through Levinson-Burbin algorithm and they were transformed to Cepstrum parameters. Before the analysis, speech data should be processed by pre-emphasis that will remove the DC component in speech and emphasize high frequency band. Baum-Welch reestimation algorithm was used for the training of HMM. In test phone, we could get a recognition rate using likelihood method. We implemented an embedded system by porting the speech recognition engine on ARM core evaluation board. The overall recognition rate of this system was 95%, while the rate on 40 commands was 96% and that 10 digits was 94%.

A Comparison Analysis of EMG on Arm and Trunk Muscle Between Elastic and Inelastic Bar During The Overhead Press Exercise (오버헤드 운동 중 탄성 바와 비탄성 바의 팔과 몸통 근육에 대한 근전도 비교 분석)

  • Il Bong, Park
    • Korean Journal of Applied Biomechanics
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    • v.32 no.4
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    • pp.128-133
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    • 2022
  • Objective: This study was executed to compare and analyze shoulder muscle activation while using an inelastic bar and elastic bar during overhead press exercise. The stability and coordination of shoulder joints will be investigated by measuring and analyzing the EMG of the upper and lower arm muscles. Method: A total of 20 university male students were recruited by dividing into 2 groups; 10 elastic bar participants (age: 20.17 ± 0.41 yrs, height: 174.31 ± 3.34 cm, weight: 74.68 ± 5.65 kg) and 10 inelastic bar participants (age: 20.09 ± 0.23 yrs, height: 173.53 ± 4.11 cm, weight: 75.32 ± 3.31 kg) participated in this study. Results: The EMG analysis results of the four muscles measured in this study showed that there was no difference between the left and right muscles between the groups in Upper Trapezius muscle. In Deltoid, Infraspinatus, and Rectus Abdominis muscles, the elastic bar group was significantly higher than the inelastic bar group between groups, and there was no difference between left and right. Conclusion: Among the four muscles measured in this study, there was no difference between left and right in Deltoid, Infraspinatus, and Rectus Abdominis, but the elastic bar showed significantly higher muscle activity than the inelastic bar. Therefore, it was found that the elastic bar increases muscle activation during exercise than the inelastic bar, and in particular, it further increases muscle activation of the arms and torso, and exercise using the elastic bar can increase neuromuscular stabilization.

Effect of Tablet-based Cognitive Intervention on Cognition in Patients With Mild Cognitive Impairment: A Pilot Study

  • Ji Young Park;Seon Ae Choi;Jae Joon Kim;Yu Jeong Park;Chi Kyung Kim;Geum Joon Cho;Seong-Beom Koh;Sung Hoon Kang
    • Dementia and Neurocognitive Disorders
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    • v.22 no.4
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    • pp.130-138
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    • 2023
  • Background and Purpose: Growing evidence has shown that cognitive interventions can mitigate cognitive decline in patients with mild cognitive impairment (MCI). However, most previous cognitive interventions have been group-based programs. Due to their intrinsic limitations, group-based programs are not widely used in clinical practice. Therefore, we have developed a tablet-based cognitive intervention program. This preliminary study investigated the feasibility and effects of a 12-week structured tablet-based program on cognitive function in patients with MCI. Methods: We performed a single-arm study on 24 patients with MCI. The participants underwent a tablet-based cognitive intervention program 5 times a week over a 12-week period. The primary outcome was changes in cognitive function, measured using the Korean version of the Consortium to Establish a Registry for Alzheimer's Disease Assessment Packet (CERAD-K). Outcomes were evaluated at baseline, within two weeks of the last program (post-intervention), and at the six-month follow-up session. Results: The completion rate of the tablet-based program was 83.3% in patients with MCI. The program improved cognitive function based on the CERAD-K total score (p=0.026), which was maintained for at least three months (p=0.004). There was also an improvement in the depression scale score (p=0.002), which persisted for three months (p=0.027). Conclusions: Our 12-week structured tablet-based program is feasible for patients with MCI. Furthermore, although further studies with a double-arm design are required, the program appears to be an effective strategy to prevent cognitive decline in patients with MCI.

A Study on the VDT Workstations Usage for Office Workers

  • Kim, Daysung;Lee, Dong-Kyung;Cho, Hae Kyeong
    • Journal of the Ergonomics Society of Korea
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    • v.34 no.2
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    • pp.179-190
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    • 2015
  • Objective and Background: Due to increase in Musculoskeletal Disorders (MSDs) relating to computer use, a number of ergonomics recommendations have been proposed in order to tackle this problem. However, some of these recommendations have been conflicting. Method: This study was to survey the VDT (Visual Display Terminal) use of office workers. The subjects were 452 workers at 13 places of business and the data were collected by self-administered questionnaire. Results: As a result, prevalence of self-reported MSDs of all VDT workers was 90.2% and shoulder took up 57.0% and neck 38.3% by symptom part of body. The population of computer use of more than 6h/day was 84.5%, and 33.8% also reported using the VDT 2~3h/day without the rest time. Desktop computer users were 95.6%, and a 17-inch monitor accounted for 42.0% among the desktop users. As a result of satisfaction survey on overall computer work, 21.1% of the total respondents said satisfied, desk complaint was about 24.6%, and chair complaint was 33.4%. Despite the importance of computer environment, satisfaction was from fair to uncomfortable. Conclusion and Application: In conclusion, office workers are prone to the MSDs due to their work environment. Additionally, this study found that task was a significant effect for the majority of dependent variables, and therefore, the improvement of computer workstations work environment is urgent, and the improvement of desk height adjustment, chair seat size (length, width), backrest condition, location of keyboard (mouse) and arm rest is required.

Risk Assesment in the loaded works of muscular skeletal disorder for company attached to dining workers (기업체 식당종사자의 근골격계 부담 작업에 대한 위험성 평가)

  • Lee, Song-Kwon;Yoo, Wang-Keun;Lee, Jeong-Hee;Lim, Moo-Hyuk;Park, Man-Chul;Cha, Sang-Eun;Ki, Yun-Ho
    • Journal of Korean Society of Occupational and Environmental Hygiene
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    • v.17 no.2
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    • pp.101-110
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    • 2007
  • This study was performed to find out hazardous factors in the loaded works of muscular skeletal disorders(MSDs) for four company attached to dining workers from October 2005 to June 2006. The results are summarized as follows. 1. 42.5% of workers in study group were 40-50 years old, and females were higher than males, and the average of body weight was 70kg, 57kg in males and females, respectively. Working time per day was mostly 7-9hours, and the rate of worker who had never education and training was 46%. 2. The upper part and right part of body were higher than lower part and left part in symptoms of muscular skeletal disorders. Body parts which complained of symptoms were the order of right shoulder(55%), right arm(54%), right hand,(40%) waist(35%), leg(25%), and neck(24%). 3. The results of evaluation in the loaded works of muscular skeletal disorders to cooking, dish supply, preparing side dish, and washing the dishes and cleaning the floor of cooking room using RULA and OWAS checklists was action level 4(potential hazards, needs of change workplace), and the result of evaluation using back compressive force needed control measures as 779.27 lbs~1,274.04 lbs. In a view point of the result of this study, large dining rooms should be designed by ergonomic technology for the work surface height, width, and depth. The height of carrying car should be lower to 70cm, and repetitiveness and handling weight should be reduced by mechanical means, and education and training also should be performed for all of workers positively.

Multi-player Contents for Upper Limb Rehabilitation based on VR (VR 기반의 상지 재활 훈련용 멀티플레이 콘텐츠)

  • Shin, Sung-Wook;Lee, Hyeok-Min;Moon, Ho-Sang;Chung, Sung-Taek
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.19 no.3
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    • pp.115-120
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    • 2019
  • Hemiplegic patients who suffered from a stroke struggle with a deterioration in upper limb functions, which can both be psychologically and physically discomforting; this can also limit patients' daily tasks involving any upper limb motions. In this study, we developed an assistive device for hemiplegic patients to improve their upper limb functions. It was manufactured to train patients by using their grip strength and the range of motion of the arm. Furthermore, we produced game contents in virtual reality to induce users' immersion and interaction. It was configured as a multi-player game to help ease the mental burden of receiving the training alone, hence allowing the patient and the caregiver to join the rehabilitation training simultaneously. The assistive device and game contents developed in this study enables patients and caregivers to easily check the degree of improvements in upper limb function by viewing quantitative analysis and visualized results.