scholarly journals Activeapp: A Smartphone-based Movement Activity Monitoring System for Healthcare

2018 ◽  
Vol 180 (19) ◽  
pp. 37-40
Author(s):  
Godwin Ogbuabor ◽  
F. N.
Keyword(s):  
Monitoring System ◽  
Activity Monitoring ◽  
Movement Activity

Locomotor Activity Monitoring System in Rodents

2020 ◽  
Author(s):  
Demetrio Fabian Garcia Nocetti ◽  
Pliar Duran Hernandez ◽  
Martin Fuentes Cruz ◽  
Martin Fuentes Cano ◽  
Adalberto Joel Duran Ortega
Keyword(s):  
Locomotor Activity ◽  
Monitoring System ◽  
Activity Monitoring

scholarly journals Development of the Electrodermal Activity Monitoring System for the Evaluation of Train Driver's Arousal State

2014 ◽  
Vol 63 (9) ◽  
pp. 1286-1293
Author(s):  
Min-Gyu Lim ◽  
Young-Jae Lee ◽  
Kang-Hwi Lee ◽  
Seung-Jin Kang ◽  
Kyeung-Nam Kim ◽  
...  
Keyword(s):  
Monitoring System ◽  
Electrodermal Activity ◽  
Activity Monitoring ◽  
Arousal State

scholarly journals On-Line and Off-Line ECG and Motion Activity Monitoring System for Athletes

2018 ◽  
Vol 3 (66) ◽  
Author(s):  
Stasys Korsakas ◽  
Alfonsas Vainoras ◽  
Liudas Gargasas ◽  
Vytenis Miškinis ◽  
Rimtautas Ruseckas ◽  
...  
Keyword(s):  
Physical Activity ◽  
Monitoring System ◽  
Activity Monitoring ◽  
Activity Level ◽  
Respiration Frequency ◽  
Hardware System ◽  
Motion Activity ◽  
On Line ◽  
Analysis System ◽  
Line Analysis

The aim of this paper is to present a new ECG and motion activity monitoring and on-line analysis system for athle-tes. The developed system is intended to facilitate the coach in optimizing and individualizing the training of elite athletes.The hardware system consists of the device for registration of ECG and accelerometer signals and wireless trans-mission to computer. The coach software works in two modes: on-line version is used during training and off-line version is designed for detailed data analysis after training. The new method for respiration frequency evaluation was developed and checked on 28 persons, and in most cases the developed algorithm correctly evaluated the respiration frequency of the investigated persons. The evaluation of athlete’s functional state from calculated and measured pa-rameters and formation of warning signals (green — normal state, yellow — limitary state and red — premonitory state) is based on the analysis applying Moore and Mealy automata algorithms. The software for the evaluation of the patient’s activity was tested on 11 healthy students: the increase in physical activity level during the brisk walk was 1.4 times higher compared to the level during the slow walk, and during the jogging sessions it was 1.89 times higher than during the slow walk.The results obtained during the investigations show that the developed ECG and motion activity monitoring system with two packages of software allows to measure cardio respiratory changes and changes in intensities of physical activity under daily conditions. The comprehensive off-line analysis by monitoring data provides the possibility for coaches to make more detailed analysis of cardio respiratory changes and changes in intensities during training.Keywords: monitoring system for athletes, electrocardiogram, accelerometry, respiration frequency.

scholarly journals AN AUTOMATIC ACTIVITY-MONITORING SYSTEM FOR SMALL MAMMALS UNDER NATURAL CONDITIONS

2006 ◽  
Vol 87 (3) ◽  
pp. 628-634 ◽  
Author(s):  
Ryan L. Rehmeier ◽  
Glennis A. Kaufman ◽  
Donald W. Kaufman
Keyword(s):  
Monitoring System ◽  
Small Mammals ◽  
Activity Monitoring ◽  
Natural Conditions ◽  
Automatic Activity

Performance analysis of an activity monitoring system using the SPINE framework

2009 ◽  
Author(s):  
Roberta Giannantonio ◽  
Raffaele Gravina ◽  
Philip Kuryloski ◽  
Ville-Pekka Seppa ◽  
Fabio Bellifemine ◽  
...  
Keyword(s):  
Performance Analysis ◽  
Monitoring System ◽  
Activity Monitoring

scholarly journals Truck Activity Monitoring System for Freight Transportation Analysis

2017 ◽  
Vol 2610 (1) ◽  
pp. 97-107 ◽  
Author(s):  
Andre Tok ◽  
Kyung (Kate) Hyun ◽  
Sarah Hernandez ◽  
Kyungsoo Jeong ◽  
Yue (Ethan) Sun ◽  
...  
Keyword(s):  
Monitoring System ◽  
Visual Analytics ◽  
Freight Transportation ◽  
Activity Monitoring ◽  
Classification Models ◽  
Activity Data ◽  
Traffic Sensors ◽  
Loop Detector ◽  
Freight Planning ◽  
Inductive Loop Detector

Understanding truck activity is an essential component of strategic freight planning and programming. However, recent studies have revealed a significant void in the availability of detailed truck activity data. Although some existing detectors are capable of providing truck counts by axle configuration, higher-resolution data that indicate truck body configuration, industry served, and commodity carried cannot be obtained from existing sensors. This paper presents the newly developed Truck Activity Monitoring System, which leverages existing in-pavement traffic sensors to provide truck activity data in California. Existing inductive loop detector sites were updated with inductive signature technology and advanced truck classification models were implemented to provide detailed truck count data with more than 40 truck body configurations. The system has been deployed to more than 90 detector locations in California to provide coverage at state borders, regional cordons, and significant metropolitan truck corridors. An interactive geographic information system website provides users with advanced visual analytics and access to archived data across all deployed locations. The case studies presented in this paper demonstrate the potential of the data obtained from this system in analyzing and understanding current and historical industry-specific truck activity.

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