[PDF] Top 20 2D Position Detection of an Object Using Accelerometer Data
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2D Position Detection of an Object Using Accelerometer Data
... simulation data that was presented earlier in this paper it is evident that the trapezoidal method is a better approach then the rectangular method as it introduces a far lesser area error problem than the ... See full document
8
Relational Data Leakage Detection using Fake Object and Allocation Strategies
... customer data, bank details, source code or design specifications, intellectual property and trade secrets are leaked ...leaked object came from an agent or from some other source, since certain data ... See full document
7
SenseJoy, a pluggable solution for assessing user behavior during powered wheelchair driving tasks
... Wheelchair data loggers are increasingly popular, they provide a quantitative assessment of wheelchair users’ activities [10, ...[12]. Data loggers are either embedded on the wheelchair or seldom positioned ... See full document
14
Activity Recognition using Accelerometer and GyroscopeSensor Data
... GPS, accelerometer, gyroscope, microphone and ...motion detection sensors provide large opportunity that is very important to detect human ...[19] Accelerometer and Gyroscope sensor data are ... See full document
6
Tilt Angle Detector Using 3-Axis Accelerometer
... describes accelerometer, which is an electromechanical device that can be used for various applications like tilt detection, obstacle detection, motion inputs, earthquake sensing, ...Tilt ... See full document
8
Ship Intrusion Detection Using Accelerometer and Temperature Sensor
... databases using Data Access Objects, Remote Data Objects, or ActiveX Data Objects, and creation of ActiveX controls and ...application using the components provided by the Visual Basic ... See full document
6
Detection of Object Using Rangefinder
... Radar is normally used to determine velocity, range, and position of an object. In this project, the distance and angles of detected objects in order to convert these data into visual information. ... See full document
5
ANDROID APPLICATION FOR FALL DETECTION USING TRIAXIAL ACCELEROMETER
... the position of fall using global positioning system (GPS) and global system for mobile communication (GSM) Technology ...fall detection of patients using tri axial accelerometer along ... See full document
9
Design and Development of a Smartphone-based Fall Detection and Alerts Generation System.
... 8 sensor communicating with a camera-phone over Bluetooth. The phone tries to ascertain whether the user has indeed fallen, and generates alerts if that is the case. In [6], changes in acceleration magnitude, followed by ... See full document
75
Evaluation of Object Utilization Through Statistical Model in Software Development Process
... of object(s) data in the ...test object(s) qualities parameter, thus it compared the required quality level of the system which expressed in either acceptable form or improvement ...of ... See full document
6
Object Detection, Extraction and Classification using Image Processing Technique
... of object extraction is to change the representation of an image into something more ...an object from the image first we have to segment the entire ...by using the markers and then the algorithm ... See full document
11
Traffic occurrence detection using spatio temporal data mining
... traffic data based on the mile post ...traffic data is analyzed and ...short detection response time. To determine the high dimensional traffic data, mahalanobis distance is used to identify ... See full document
6
Object Detection in X-ray Images Using Transfer Learning with Data Augmentation
... the detection of these objects are Sliding Window based CNN (SW-CNN) [6], Faster R-CNN, Region-based Fully Convolutional Networks (R-FCN) and, You Only Look Once (YOLO) V2 ...multi-view object ... See full document
7
RULES REDUCTION AND OPTIMIZATION OF FUZZY LOGIC MEMBERSHIP FUNCTIONS FOR INDUCTION MOTOR SPEED CONTROLLER
... The results in Table 1 show that IM is better than the VE in terms of edge detection process. Besides, in terms of maximum error, RMSE, and volume calculation they are comparable. In contrast, VE is better than IM ... See full document
12
A Survey of Methodaology of Fraud Detection Using Data Mining
... Specific data mining benefits vary depending on the goal and the ...gain. Data mining is used in predicting, forecasting across many different application areas like health, credit card, sales, weather, ... See full document
5
Object Detection Using SURF and Superpixels
... time. Object detection, which is a task for searching and localizing a target in a particular scene, can be considered as prime feature for ...the data and also the fea- tures used for the ... See full document
8
Object Detection using Deep Learning
... Tensorflow Object Detection [2][11] Application Program Interface (API) is used to build powerful image recognition ...of Detection Models, which are pre-trained on COCO dataset and open images ... See full document
5
A Novel Approach for Assisting the Visually Impaired to Recognize Objects in an Image
... RCNN) object recognition ...image using pytesseract in python and generates audio description about the objects in the ...by using Deep Learning methods, python and ... See full document
6
Design Of Motion Detection Using Tri-Axial Accelerometer For The Elderly
... wireless devices when doing an analysis to design algorithm by collecting pattern of waveform. However, the wearable device can be used in the place where mobile network coverage is available because it is operate ... See full document
24
Improving the Efficiency of Background Subtraction using Superpixel Extraction and Midpoint for Centroid
... By using this edge detection with fuzzy c means segmentation, both edge detection and segmentation of background object and foreground object can be accurately performed so that backgrou[r] ... See full document
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