Human-inspired motion model of upper-limb with fast response and learning ability – a promising direction for robot system and control

2016 ◽  
Vol 36 (1) ◽  
pp. 97-107 ◽  
Author(s):  
Hong Qiao ◽  
Chuan Li ◽  
Peijie Yin ◽  
Wei Wu ◽  
Zhi-Yong Liu
Keyword(s):  
Robot Control ◽  
Human Movement ◽  
Fast Response ◽  
Neural System ◽  
Human Motion ◽  
Learning Ability ◽  
Propagation Mechanism ◽  
Motion Model ◽  
Content Type ◽  
Movement System

Purpose – Human movement system is a Multi-DOF, redundant, complex and nonlinear system formed by coordinating combination of neural system, bones, muscles and joints, which is robust and has fast response and learning ability. Imitating human movement system can improve robustness, fast response and learning ability of the robots. Design/methodology/approach – In this paper, we propose a new motion model based on the human motion pathway, especially the information propagation mechanism between the cerebellum and spinal cord. Findings – The proposed motion model proves to have fast response and learning ability through experiments, which matches the features of human motion. Originality/value – The proposed model in this paper introduces the habitual theory in kinesiology and neuroscience into robot control, and improves robustness, fast response and learning ability of the robots. This paper proves that introduction of neuroscience has an important guiding significance for precise and adaptive robot control, such as assembly automation.

PENATAAN RUANG HALTE TRANS JOGJA DI BANDARA ADISUCIPTO YANG BERBASIS ERGONOMI DENGAN PROGRAM THE SIMS 3

2017 ◽  
Vol 10 (1) ◽  
pp. 41
Author(s):  
Dhita Wahyu Anggraeni
Keyword(s):  
Human Movement ◽  
Human Motion ◽  
Human Dimensions ◽  
Simulation Methods ◽  
Movement System ◽  
Transport Modes ◽  
Public Demand

Trans Jogja Shelter in Yogyakarta Adisucipto airport is one of the shelters, which is in great public demand, because it integrates with other transport modes. The airport bus shelter is full of passengers with different human dimensions and their luggage. Based on initial observations about movement circulation during rush hour, it was found such difficulties in movement system and led to insecurity for the passengers. The purpose of this study is to analyze the circulation layout based on ergonomic needs at the Trans Jogja shelter in Adisucipto Airport area, which may contributes to the circulation moving system. Criteria of the study are four aspects, i.e the anthropometric, kinetic, physiology, and psychology. This study used behavioral mapping and simulation methods. The Sims 3 program is used for the simulation of human movement in the shelter. The analysis found that the shelter does not meet the need of standard dimensional human motion. In order to improve the quality of a better layout of the shelters, the ergonomic movement system is indispensable to be taken into consideration.Keywords: circulation space, ergonomics, The Sims 3 programAbstrak: Halte Trans Jogja di Bandara Adisucipto Yogyakarta adalah salah satu halte yang banyak dibutuhkan oleh masyarakat karena terintegrasinya berbagai jalur tranportasi yang memberi kemudahan bagi masyarakat dalam memilih tujuan perjalanan. Halte bandara dipenuhi oleh calon penumpang bus dengan bermacam dimensi ukuran tubuh dan barang bawaan. Berdasarkan pengamatan awal ditemukan permasalahan sirkulasi dan gerak terutama pada saat kondisi jam sibuk, banyaknya pengguna halte menyebabkan kesulitan bergerak dan mengakibatkan rasa tidak aman bagi calon penumpang bus. Tujuan penelitian ini adalah mengkaji permasalahan ergonomi pada tata ruang sirkulasi Halte Trans Jogja di Bandara Adisucipto melalui studi gerak sesuai ergonomi. Hasil kajian memberi konstribusi terhadap kenyamanan gerak bagi pengguna halte khususnya masyarakat Yogyakarta. Tolok ukur dalam penelitian ada empat aspek yaitu anthropometri, kinetik, fisiologi dan psikologi. Metode yang digunakan dalam penelitian ini adalah dengan metode pemetaan perilaku (behavioral mapping) dan metode simulasi dengan menggunakan program The Sims 3 yaitu simulasi alur pergerakan manusia di dalam halte. Dari hasil  analisis ditemukan bahwa halte yang sekarang tidak memenuhi standar kebutuhan dimensi gerak manusia, maka untuk meningkatkan kualitas halte yang ergonomis dibutuhkan penataan sirkulasi yang lebih baik.Kata kunci: tata ruang sirkulasi, ergonomi, program The Sims 3

Novel printed body worn sensor for measuring the human movement orientation

Sensor Review ◽  
2016 ◽  
Vol 36 (3) ◽  
pp. 321-331 ◽  
Author(s):  
Mohammad Iman Mokhlespour Esfahani ◽  
Somaye Taghinezhad ◽  
Vahid Mottaghitalab ◽  
Roya Narimani ◽  
Mohammad Parnianpour
Keyword(s):  
Wearable Sensors ◽  
Chemical Vapor ◽  
Human Movement ◽  
Original Data ◽  
Calibration Procedure ◽  
Morphological Characterization ◽  
Human Motion ◽  
Wearable Sensor ◽  
Content Type ◽  
Calibration Methods

Purpose The purpose of this study is the measuring of the human movement using printed wearable sensor. Human movement measurement is one of the usages for wearable sensors. This technology assists the researchers to collect data from the daily activities of individuals. In other words, the kinematics data of human motion will be extracted from this data and implemented in biomechanical aspects. Design/methodology/approach This study presents an innovative printed wearable sensor which can be used for measuring human movement orientations. In this paper, the manufacturing process, implementation, measurement setup and calibration procedure of this new sensor will be explained, and the results of calibration methods will be presented. The conductive flexible nylon/lycra fabric strain gauge was developed using polypyrrole (PPy)–1, 5-naphthalenedisulfonic acid by using a sophisticated method composed of screen printing followed by chemical vapor deposition at room temperature. Findings The morphological characterization using scanning electron microscopy shows the PPy-coated fabric exhibiting a homogenous and smooth surface. Based on the results, the linearity and hysteresis error are 98 and 8 per cent, respectively. Finally, the behavior of our sensor is evaluated in some cases, and the effects of relaxation and strain rate will be discussed. Practical implications The wearable sensor is one of the most advanced technologies in biomedical engineering. It can be used in several applications for prohibition, diagnosing and treatment of diseases. Originality/value The paper present original data acquired from a technical set-up in biomechanic labs. An innovative method was used for collecting the resistance changing of the sensor. A measurement setup was prepared as a transducer to convert the resistance into voltage.

scholarly journals THE EFFECT OF AL-QUR'AN MURATTAL AUDIO ON THE STUDENTS’ MEMORY OF BIOLOGICAL LATIN NAMES IN HUMAN MOVEMENT SYSTEM MATERIALS IN GRADE XI IPA SMA IT WAHDAH ISLAMIYAH

Al-Qalam ◽  
2021 ◽  
Vol 27 (1) ◽  
pp. 173
Author(s):  
Ulfiani Rahman ◽  
Muslimah S. Waskita ◽  
Hamansah Hamansah
Keyword(s):  
Sampling Technique ◽  
Human Movement ◽  
Human Motion ◽  
Control Group ◽  
Control Group Design ◽  
Memory Ability ◽  
Motion System ◽  
Quasi Experimental ◽  
Equivalent Control ◽  
Movement System

<div class="page" title="Page 1"><div class="layoutArea"><div class="column"><p><span>This study aims to: (1) Describe the level of memory ability of biological Latin names of human motion system material in students who listened to murattal audio, (2) Determine the level of memory ability of biological Latin names of human motion system material of students who did not listen to murattal audio, (3). Analyze the influence of murattal audio on the memory of biological Latin names in the human motion system material. This research was quasi-experimental with a non-equivalent control group design. This study involved 58 of 70 students consisting of 29 students in a control class and 29 students in an experimental class. They were selected by the purposive sampling technique. The research instrument was a learning outcome test. The data were analyzed through descriptive statistical analysis and inferential analysis which were preceded by prerequisite tests and then carried out by an independent sample t-test. The results showed that the memory ability of biological Latin names in the experimental class is higher than in the control class. Furthermore, the experimental class is in the high category, while the control class is in the medium category. Thus, it proves that the murattal audio of Al-Qur'an can improve students’ memory of biological Latin names. Research implications are also presented in this study.</span></p></div></div></div>

scholarly journals Highly Sensitive E-Textile Strain Sensors Enhanced by Geometrical Treatment for Human Monitoring

Sensors ◽  
2020 ◽  
Vol 20 (8) ◽  
pp. 2383 ◽  
Author(s):  
Chi Cuong Vu ◽  
Jooyong Kim
Keyword(s):  
Form Factors ◽  
Human Movement ◽  
Fast Response ◽  
Strain Sensors ◽  
Electronic Textiles ◽  
Smart Textiles ◽  
Electronic Manufacturing ◽  
Starting Point ◽  
Textile Sensors ◽  
Manufacturing Techniques

Electronic textiles, also known as smart textiles or smart fabrics, are one of the best form factors that enable electronics to be embedded in them, presenting physical flexibility and sizes that cannot be achieved with other existing electronic manufacturing techniques. As part of smart textiles, e-sensors for human movement monitoring have attracted tremendous interest from researchers in recent years. Although there have been outstanding developments, smart e-textile sensors still present significant challenges in sensitivity, accuracy, durability, and manufacturing efficiency. This study proposes a two-step approach (from structure layers and shape) to actively enhance the performance of e-textile strain sensors and improve manufacturing ability for the industry. Indeed, the fabricated strain sensors based on the silver paste/single-walled carbon nanotube (SWCNT) layers and buffer cutting lines have fast response time, low hysteresis, and are six times more sensitive than SWCNT sensors alone. The e-textile sensors are integrated on a glove for monitoring the angle of finger motions. Interestingly, by attaching the sensor to the skin of the neck, the pharynx motions when speaking, coughing, and swallowing exhibited obvious and consistent signals. This research highlights the effect of the shapes and structures of e-textile strain sensors in the operation of a wearable e-textile system. This work also is intended as a starting point that will shape the standardization of strain fabric sensors in different applications.

scholarly journals Response to perturbation during quiet standing resembles delayed state feedback optimized for performance and robustness

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ambrus Zelei ◽  
John Milton ◽  
Gabor Stepan ◽  
Tamas Insperger
Keyword(s):  
State Feedback ◽  
Postural Sway ◽  
Fast Response ◽  
Neural System ◽  
Feedback Mechanism ◽  
Quiet Standing ◽  
Deterministic Models ◽  
Measured Time ◽  
Delayed State Feedback ◽  
Damped Oscillator

AbstractPostural sway is a result of a complex action–reaction feedback mechanism generated by the interplay between the environment, the sensory perception, the neural system and the musculation. Postural oscillations are complex, possibly even chaotic. Therefore fitting deterministic models on measured time signals is ambiguous. Here we analyse the response to large enough perturbations during quiet standing such that the resulting responses can clearly be distinguished from the local postural sway. Measurements show that typical responses very closely resemble those of a critically damped oscillator. The recovery dynamics are modelled by an inverted pendulum subject to delayed state feedback and is described in the space of the control parameters. We hypothesize that the control gains are tuned such that (H1) the response is at the border of oscillatory and nonoscillatory motion similarly to the critically damped oscillator; (H2) the response is the fastest possible; (H3) the response is a result of a combined optimization of fast response and robustness to sensory perturbations. Parameter fitting shows that H1 and H3 are accepted while H2 is rejected. Thus, the responses of human postural balance to “large” perturbations matches a delayed feedback mechanism that is optimized for a combination of performance and robustness.

scholarly journals UPAYA MENINGKATKAN KEAKTIFAN DAN HASIL BELAJAR SISWA MELALUI PEMBELAJARAN KONTEKSTUAL MATERI SISTEM GERAK PADA MANUSIA

2018 ◽  
Vol 7 (1) ◽  
Author(s):  
Wahyu Widayaningsih
Keyword(s):  
Action Research ◽  
Test Data ◽  
Learning Process ◽  
Teaching And Learning ◽  
Group Discussion ◽  
Human Movement ◽  
Contextual Learning ◽  
Contextual Approach ◽  
Movement System ◽  
Written Test

ABSTRACTProblems which were raised in this research are the low students’ activity and their poor achievements during the teaching and learning process, especially in human movement system topic. Hence, the researcher implemented contextual approach with group discussion to stimulate students’ active activity and improve their scores. This study utilized classroom action research in which there were four steps for each cycle, namely planning, acting, observing, and reflecting. Data were divided into two, primary (researcher’s action) and secondary (documentation). Those data were collected through interview, students’ worksheets, teacher’s observation and written test. Data were analyzed descriptively. The results showed that the students’ activity from cycle 1 to 3 respectively are 71.88 %, 84.38 %, and 90.62 %; meanwhile the average scores of students’ achievement are 55.31; 69.55; and 79.38 respectively. It can be concluded that by implementing contextual approach with group discussion, students’ activity and achievements during teaching and learning the human movement system topic are improved. Keywords: contextual learning, human movement system, student’s achievement, students‘ activity ABSTRAKPermasalahan yang diangkat dalam penelitian ini adalah rendahnya keaktifan dan hasil belajar siswa pada materi sistem gerak pada manusia, sehingga peneliti menerapkan pendekatan kontekstual dengan diskusi kelompok untuk merangsang siswa lebih aktif dan hasil belajar siswa lebih meningkat. Penelitian ini merupakan penelitian tindakan kelas dimana setiap siklus terdiri dari empat tahap yaitu perencanaan, pelaksanaan, pengamatan dan refleksi. Sumber data dalam penelitian ini meliputi data primer yaitu peneliti yang melakukan tindakan dan siswa yang menerima tindakan dan sumber data sekunder yang berupa data dokumentasi. Data diperoleh melalui wawancara, lembar aktivitas siswa, observasi kinerja guru dan tes tertulis. Teknik analisis yang digunakan yaitu metode analisis deskriptif. Hasil ditunjukkan dengan persentase keaktifan siswa; hasil siklus 1, 2 dan 3 berturut-turut adalah 71,88 %, 84,38 %, dan 90,62 %. Sedangkan rata-rata hasil belajar siswa hasil siklus 1,2 dan 3 berturut-turut 55,31; 69,55; dan 79,38. Berdasarkan hasil tersebut, disimpulkan bahwa dengan menerapkan pembelajaran kontekstual dengan diskusi kelompok, keaktifan siswa dan hasil belajar siswa pada materi sistem gerak pada manusia meningkat. Kata kunci:  pembelajaran kontekstual, sistem gerak pada manusia, hasil belajar siswa, keaktifan siswa

Bio-inspired neural network with application to license plate recognition: hysteretic ELM approach

2016 ◽  
Vol 36 (2) ◽  
pp. 172-178 ◽  
Author(s):  
Liang Chen ◽  
Leitao Cui ◽  
Rong Huang ◽  
Zhengyun Ren
Keyword(s):  
Neural Network ◽  
Activation Function ◽  
Neural System ◽  
Learning System ◽  
License Plate ◽  
Sigmoid Function ◽  
License Plate Recognition ◽  
Content Type ◽  
Hidden Layer ◽  
Automatic License Plate Recognition

Purpose This paper aims to present a bio-inspired neural network for improvement of information processing capability of the existing artificial neural networks. Design/methodology/approach In the network, the authors introduce a property often found in biological neural system – hysteresis – as the neuron activation function and a bionic algorithm – extreme learning machine (ELM) – as the learning scheme. The authors give the gradient descent procedure to optimize parameters of the hysteretic function and develop an algorithm to online select ELM parameters, including number of the hidden-layer nodes and hidden-layer parameters. The algorithm combines the idea of the cross validation and random assignment in original ELM. Finally, the authors demonstrate the advantages of the hysteretic ELM neural network by applying it to automatic license plate recognition. Findings Experiments on automatic license plate recognition show that the bio-inspired learning system has better classification accuracy and generalization capability with consideration to efficiency. Originality/value Comparing with the conventional sigmoid function, hysteresis as the activation function enables has two advantages: the neuron’s output not only depends on its input but also on derivative information, which provides the neuron with memory; the hysteretic function can switch between the two segments, thus avoiding the neuron falling into local minima and having a quicker learning rate. The improved ELM algorithm in some extent makes up for declining performance because of original ELM’s complete randomness with the cost of a litter slower than before.

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