An electrocardiogram (ECG) records changes in the electric potential of cardiac cells using a noninvasive method. Previous studies have shown that each person's signal possesses unique characteristics. Thus, researchers attempted to use ECG signals for personal identification. However, most verify results taken from databases which are obtained subjects under condition rest. Therefore, extraction and analysis subject's typically occurs resting state. This study presents experiments involve...

Sophisticated technologies realized from applying the idea of biometric identification are increasingly applied in entrance security management system, private document protection, and access control. Common involves voice, attitude, keystroke, signature, iris, face, palm or finger prints, etc. Still, there novel based on individual's features under development [1-4].

Electrocardiography (ECG) is a transthoracic interpretation of the electrical activity human's heart over time captured and highly irregular, random, variable from person to person. Recently, literature has revealed that this kind signal is, in fact, chaotic. Because people's ECGs are extremely hard be artificially duplicated, paper intends investigate way extracting ECG signals' biometric features for possibility recognition. The converted into phase plane by using space reconstruction....

This paper presents a new vision-based vehicle detection method for Forward Collision Warning System (FCWS) at nighttime. Also, lane is performed assistance. To effectively extract the bright objects of interest, an essential image preprocessing including tone mapping, contrast enhancement and adaptive binaryzation applied in nighttime road scenes. The characteristics taillights gray-level are extracted by night method, resulted taillight candidates verified their corresponding red-component...

Security of information has become a popular subject during the last decades. Due to electrocardiogram (ECG) signals varying from person person, it could be applied as new tool for biometric recognition. This paper introduces an individual feature ECG with Logistic map cryptography. The encryption system utilizes portable instrument (Heart Pal) collect signal then using intelligent algorithm based on Chaos theory generate initial keys map, so that user needn't set up values chaotic function....

In this study, the machine vision and artificial intelligence algorithms were used to rapidly check degree of cooking foods avoid over-cooking foods. Using a smart induction cooker for heating, image processing program automatically recognizes color food before after cooking. The new parameters identify conditions when it is undercooked, cooked, overcooked. research, camera was in combination with software development, real-time technology obtain information food, through calculation...

Electrocardiogram (ECG) signals varying from person to person, it could possibly be applied as a tool for biometric recognition. This paper attempts introduce an individual feature of ECG with chaotic Henon map cryptography. The encryption system utilizes portable instrument (Heart Pal) collect the encrypted and applies intelligent algorithm based on Chaos theory generate initial keys map. High quality randomness results in widely expanded key space which would ideal generator data encryption.

ECG signal vary from person to person, making it difficult be imitated and duplicated. Biometric identification based on is therefore a useful application this feature. Synchronization of chaotic systems provides rich mechanism which noise-like virtually impossible guess or predict. This study intends combine our previously proposed information encryption/decryption system with synchronization circuits create private key masking. To implement the secure communication system, pair...

Physical fitness is the overall ability of body to adapt working environment and perform sporting daily activities. The aim this study was analyze correlation between muscle electromyography (EMG) signals lower limbs under varying exercise intensity. standing long jump used as a test task for assessing power limb muscles. Participants were university freshmen who belonged top 20%, middle bottom 20% groups in terms physical norms. EMG participants’ while they performed squats collected four...

In the measurement of physiological signals, electro-cardiogram (ECG) is essential to most medical diagnoses related heart behavior, which closely associated with human's health. this study, we have developed a health care platform (HCP) able solve baseline drift problem, detect heart-rate status, and record ECG signals. The HCP provides convenient handheld device collect signals in moving state from only two conductive electrodes. transmits data computers through wireless transmission shows...

In traditional industrial fields, a robot arm is usually used for high-precision or highly repetitive movements, but now, with the development of three-dimensional (3D) stereo machine vision in smart manufacturing, factory has moved toward combined image recognition technology. Currently, manufacturing industry, most images computing are obtained using two-dimensional (2D) vision; here, 2D advantage that camera lens can obtain simulation plane color pixel, disadvantage it cannot real space...

Postural orthostatic tachycardia syndrome (POTS) typically occurs in youths, and early accurate POTS diagnosis is challenging. A recent hypothesis suggests that upright cognitive impairment because reduced cerebral blood flow velocity (CBFV) cerebrovascular response to carbon dioxide (CO2) are nonlinear during transient changes end-tidal CO2 (PETCO2). This novel study aimed reveal the interaction between autoregulation ventilatory control patients by using tilt table hyperventilation alter...

It has been known that the relationship between arterial CO2 and cerebral blood flow velocity (CBFV) is nonlinear affected by CO2-induced changes in pressure (ABP). However, no study examined cerebrovascular response to for diabetes mellitus (DM), which become a significant risk factor cardiovascular disease. In this paper, head-up tilt table (HUT) experiment was performed with three stages: supine resting, hyperventilation, 75° upright positions. The subject's cardiorespiratory signals,...

This paper studied the point stabilization problem for a constrained autonomous lawnmower. A kinetic model is established first. The authors proposed backstepping adaptive controller to solve stabilizing control design problem. approach has been numerically verified.

In this paper, with the use of noninvasive TCD, Finapres, and Capnography, we investigated cerebrovascular response to CO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> in PD patients explored interaction between cerebral autoregulation ventilatory control by using nonlinear regression model. The results these were compared those healthy subjects examining their CBFV, CVMR (cerebrovascular Vasomotor Reactivity), CVC...

To study the impaired cerebral autoregulation mechanism of postural orthostatic tachycardia syndrome (POTS) patients under carbon dioxide, a nonlinear regression model was applied to evaluate their cerebrovascular responses dioxide (CO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> ). The blood flow (CBFV), end-tidal and other cardiopulmonary signals were processed for each subject with tilt table experiment hyperventilation. sigmoidal...

Physical fitness refers to the body's ability adapt work and environment, as well function in physical behavior. This research is based on fitness, from viewpoint of exercise physiology, muscle strength, endurance, power, quantitatively study fitness. In this study, standing long jump was used a normal test, lowest 20% group were screened university freshmen. After intensive training, pre-and post-test results analyzed under different intensities. A correlation between its time frequency...

Muscular fitness is not only the ability of body to adapt work and environment but also operational physical behavior. We speculated whether research could be conducted on theory muscular its qualitative/quantitative relationship based exercise physiology from perspective endurance exploration. This study used standing long jumps as a standard metric for identify bottom 20% groups. The experiment involved eight freshmen groups, pre-tests participants’ electromyography (EMG) signals under...