This paper presents an automatic ECG-based emotion recognition algorithm for human recognition. First, we adopt a musical induction method to induce participants' real emotional states and collect their ECG signals without any deliberate laboratory setting. Afterward, develop recognize emotions elicited by listening music. Physiological features extracted from the time-, frequency-domain, nonlinear analyses of are used find emotion-relevant correlate them with states. Subsequently,...

This paper presents a wearable inertial sensor network and its associated activity recognition algorithm for accurately recognizing human daily sport activities. The proposed is composed of two sensing devices, which comprise microcontroller, triaxial accelerometer, gyroscope, an RF wireless transmission module, power supply circuit. algorithm, consisting procedures motion signal acquisition, preprocessing, dynamic detection, normalization, feature extraction, reduction, recognition, has...

This paper presents an inertial-sensor-based digital pen (inertial pen) and its associated dynamic time warping (DTW)-based recognition algorithm for handwriting gesture recognition. Users hold the inertial to write numerals or English lowercase letters make hand gestures with their preferred handheld style speed. The signals generated by motions are wirelessly transmitted a computer online proposed DTW-based includes procedures of signal acquisition, preprocessing, motion detection,...

This paper aims to improve the full speed sensorless drive for permanent-magnet (PM) synchronous machines on region of initial zero and medium speed. At low speed, saliency-based using square-wave voltage injection has demonstrated comparable performance sensor-based encoder with hundreds pulses per revolution. For PM at state, magnet polarity is typically identified based before drive. Instead injection, this directly adds detection capability in by superimposing same voltage. A fast period...

This paper presents a wearable inertial measurement system and its associated spatiotemporal gait analysis algorithm to obtain quantitative measurements explore clinical indicators from the patterns for patients with stroke or Parkinson's disease. The is composed of microcontroller, triaxial accelerometer, gyroscope, an RF wireless transmission module. algorithm, consisting procedures signal acquisition, preprocessing, phase detection, ankle range motion estimation, has been developed...

This paper aims to develop a multisensor data fusion technology-based smart home system by integrating wearable intelligent technology, artificial intelligence, and sensor technology. We have developed the following three systems create an environment: (1) motion sensing device be placed on residents' wrists its corresponding 3D gesture recognition algorithm implement convenient automated household appliance control system; (2) mounted resident's feet indoor positioning realize effective...

This paper presents an inertial-measurement-unit-based pen (IMUPEN) and its associated trajectory reconstruction algorithm for motion handwritten digit recognition applications. The IMUPEN is composed of a triaxial accelerometer, two gyroscopes, microcontroller, RF wireless transmission module. Users can hold the to write numerals or draw simple symbols at normal speed. During writing drawing movements, inertial signals generated movements are transmitted computer via A procedures data...

This paper presents a wearable inertial pedestrian navigation system and its associated trajectory reconstruction algorithm for reconstructing walking trajectories in indoor outdoor environments. The proposed is constructed by integrating triaxial accelerometer, gyroscope, magnetometer, microcontroller, Bluetooth wireless transmission module. Users wear the on foot while environments at normal speed without any external positioning techniques. During movement, measured signals generated from...

Water is one of the most precious resources. However, industrial development has made water pollution a critical problem today and thus quality monitoring surface cleaning are essential for resource protection. In this study, we have used sensor fusion technology as basis to develop multi-function unmanned vehicle (MF-USV) obstacle avoidance, water-quality monitoring, cleaning. The MF-USV comprises USV control unit, locomotion module, positioning an avoidance system, communication power...

This paper develops a wearable sport activity classification system and its associated deep learning-based algorithm for accurately recognizing activities. The proposed used two inertial sensing modules worn on athletes' wrist ankle to collect motion signals utilized convolutional neural network (CNN) extract the inherent features from spectrograms of short-term Fourier transform (STFT) signals. module is composed microcontroller, triaxial accelerometer, gyroscope, an RF wireless...

This paper presents growing amorphous, anatase, rutile, and mixed phases titanium dioxide (TiO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> ) thin films by mist chemical vapor deposition post annealing techniques. The temperature affects crystal structures of the TiO significantly. X-ray diffraction Raman spectra are used to characterize films. photoelectron spectroscopy is analyze composition film. optical characteristics, including...

This paper presents an inertial-sensor-based wearable device and its associated stride detection algorithm to analyze gait information for patients with Alzheimer's disease (AD). The analysis is composed of a triaxial accelerometer, microcontroller, RF wireless transmission module. To validate the effectiveness proposed algorithm, nine AD three healthy controls were recruited participate experiment. They asked mount on their foot walk along straight line 40 meters at normal speed. consisting...

Background: Badminton is a sport demanding both high aerobic and anaerobic fitness levels, fatigue can significantly impact game performance. However, relevant studies are limited, none have employed wearable inertial measurement unit (IMU) to investigate the effects of on athletic performance in field. Hypothesis: Overall body acceleration time frequency domains during fundamental badminton skills vertical jumping changes direction will be affected by fatigue. Study Design: Cross-sectional...

Diagnosis and progress monitoring of frozen shoulder rely on correct measurement active passive range motion (ROM) shoulder. This paper studied the feasibility a wearable inertial sensor network (WISN) its associated ROM estimation algorithm for assessment. The WISN composed three modules were placed trunk, upper arm, forearm human assessment in real time. Each module consists an ARM-based 32-bit microcontroller, triaxial accelerometer, gyroscope, magnetometer, controller area (CAN)...

Conventional permanent magnet (PM) machine open-phase fault detection relies on the estimation of current harmonics using available phase sensors. Because magnitudes harmonic are proportional to load condition, it is still a challenge detect at light when fault-induced too small estimate. This paper investigates specifically for conditions under low magnitudes. Both in dq currents and neutral point (NP) voltage analyzed find suited signal detection. By adding sensor measure NP PM machine,...

This paper aims to develop an intelligent autonomous surveillance system for the safety of indoor environments with integration techniques such as sensory information fusion, internet things (IoT), and artificial intelligence (AI). We have developed following four subsystems implement system: (1) vehicle (ASV) be placed on track detect environmental in (such temperature, flame, CO concentration, liquefied petroleum gas (LPG) concentration) movement ASV position coordinates speed); (2) fire...

This paper develops an inertial-sensing-based wearable human activity classification system and its associated algorithm for accurately recognizing daily activity. The proposed used two inertial sensing modules, which are worn on subjects' wrist ankle, to collect motion signals of activities, utilized the nonparametric weighted feature extraction (NWFE) reduce dimensions improve rate simultaneously. First, we integrated a microcontroller, triaxial accelerometer, gyroscope, RF wireless...

In this study, machine vision technology was used to precisely position the highest energy of laser spot facilitate subsequent joining product workpieces in a welding machine. The displacement stage could place into superposition area and allow parts be joined. With deep learning convolutional neural network training program, system enhance accuracy positioning efficiency work. A bi-analytic localization method proposed study. camera for real-time monitoring. first step use perform...

This paper presents an accelerometer-based pen device for online handwriting recognition applications.The consists of a triaxial accelerometer, microcontroller, and RF wireless transmission module.Users can hold the to write numerals in air without space limitations.The accelerations generated by hand motions are accelerometer embedded device, transmitted personal computer further signal preprocess via module.Subsequently, dynamic time warping (DTW) algorithm is applied align search class...

This paper presents a wearable inertial-sensing-based body sensor network (BSN) composed of two inertial modules that are placed on human upper limb for real-time motion capture applications. Each module consists an ARM-based 32-bit microcontroller (MCU), triaxial accelerometer, gyroscope, and magnetometer. To estimate shoulder range (ROM), the accelerations, angular velocities, magnetic signals collected processed by quaternion-based complementary nonlinear filter minimizing cumulative...

This paper presents an inertial-sensor-based portable instrument and its associated swing motion detection algorithm to detect the following several major stages of a full golf motion: address, back swing, top down impact, follow through, finish. The consisting microcontroller, triaxial accelerometer, gyroscope, Bluetooth wireless transmission module can be mounted on club measure signals. A composed procedures signal collection, preprocessing, segmentation has been developed for recognizing...

In conventional position sensorless permanent magnet (PM) machine drives, the rotor is obtained from phase-locked loop (PLL) with regulation of spatial signal in estimated back electromotive force (EMF) voltages. Due to sinusoidal distribution back-EMF voltages, a small-signal approximation assumed PLL order estimate position. That is, almost equal actual per sample instant. However, at high speed when ratio sampling frequency, fsample, over operating fe, low, this might not be valid during...