Teaching the electronic design and embedded system course with body sensor nodes (original) (raw)

Evaluation of Body Sensor Networks for Instruction in Embedded Systems and Wireless Sensor Networks

2008 Providence, Rhode Island, June 29 - July 2, 2008, 2008

As the BS in Computer Systems Engineering degree is being implemented at UGA, we are evaluating the use of Body Sensor Networks developed at The Imperial College London as a laboratory platform for the experimentation components in Bio-Instrumentation, Embedded Systems and Wireless Sensor Networks courses. The system will be evaluated for computational power, ease of programming and sensor interfacing, operational ranges and noise resistance.

Implementing Body Sensor Network with Biomedical Signal Processing Through Wireless System.

International Journal of Engineering Sciences & Research Technology, 2013

In this paper we describe the design, implementation, verification of a system-on-chip aimed to play the role for a wireless body area sensor network node. We supposed to use mixed signal silicon chip that has most of the attributes required for use in a wearable BSN. We used two types 1) analog based 2) digital based. Analog includes temperature & pH, multiplexing of data, digital includes microcontroller, wireless transmission. The paper ends presenting fully evaluated and tested by connection to external sensors of the implemented system-on-chip.

Sensors as an alternative way for teaching Embedded Systems and Microelectronics

This paper discusses an alternative way to implement a suitable engineering education program for teaching microelectronics by means of smart sensors and embedded systems using the different possibilities available in local facilities, to fabricate sensors and signal acquisition instrumentation. The aim of this program is to provide the necessary condition to apply solid state sensors and embedded systems in areas such as, but not restricted to, assistive technology and pervasive computation. To guarantee the viability of this proposal, it is structured with low capital investment for the integration in interdisciplinary projects in fields such as bio-medical engineering, electronics engineering, instrumentation and computer science. Most smart microelectronics transducers consist of substrate electronics that implements the drive and control functions with one or more additional specialized layers of material to produce the transducer function. As described, the development of sensors system is an interdisciplinary task which requires the detailed knowledge of experts from completely different fields. In general, computer scientists, electrical and electronic engineers, physicists, biochemists, biologists, or medical engineers may be involved.

Development Of Student Training Environment For Embedded Sensor Applications

Different applications for measurement and control need different hardware configurations for taking sensor measurements, additional data acquisition hardware and connectivity to control devices and actuators. The proposed multipurpose and flexible development environment offers standard environment for teaching students to work with low cost sensor and control node based on the NXP ARM7 LPC2368 microcontrolers.

An experimental wireless sensor network applied in engineering courses

Computer Applications in …, 2009

Wireless sensor networks (WSNs) are an emerging technology based on the progress of electrical and mechanical engineering, as well as computer science in the last decade. This paper presents our experiences in designing and developing a WSN using commercial-off-the-shelf components and assembled in-house. This WSN is used as a support tool for teaching in undergraduate engineering programs in Electronic and Computing, providing students a hands-on experience with emphasis on embedded software design. ß

Architecture for body sensor networks

Perspectives in Pervasive Computing, 2005

Recent advances in wireless sensor networks have facilitate the realisation of pervasive health monitoring for both homecare and hospital environments. The concept of Body Sensor Networks (BSN) has been introduced recently where miniaturised wearable or implantable wireless sensors are used for continuous monitoring of patients. To facilitate research and development in BSN, a BSN hardware development platform, called BSN node, is proposed by Imperial College London. With its compact, low power and flexible design, the BSN nodes provide a versatile developing environment for pervasive healthcare applications.

A Study of a Wireless Smart Sensor Platform for Practical Training

Communications in Computer and Information Science, 2013

In order to overcome the obstacles in traditional experimenting and practical training courses, as well as in enhancing the functions of the present e-learning system, the study took sensor network technology as the foundation in developing a web services system. The system will be able to make presentations of the students 'operations and results on an immediate basis, allowing the students to be guided adequately as they face problems during experiment and practical training.

A System-On-Chip for Wireless Body Area Sensor Network Node

2008

The paper describes the design, implementation, and verification of a system-on-chip aimed to play the role of a general purpose processor for a wireless body area sensor network node. The heart of the sensor node is the IPMS430 processor core. This processor core is a clone of the Texas Instruments MSP430 microcontroller's central processing unit. The implemented and verified system includes the processor core, program and data memories, timer, input/output port, and interrupt chain. The paper ends presenting electrical and physical features of the implemented system-on-chip.

Designing Of WSN Based Embedded System Using Wearable Sports Sensors: A Theoretical Approach

The advent of wearable textile-based sensors has paved, an easy and efficient, way for physiological monitoring. Athletes are not required to carry monitoring devices separately. Instead, the technology of using fabrics as sensors, enable them to be monitored with the help of garments that they wear. In the present paper, we tend to propose an embedded system design to monitor physiology and body kinematics in a cost effective manner with minimum energy conservation. Also, we aim at proposing a system which is small in size. For that purpose, our proposed Embedded System consists of Xadow micro-controller (dimension 25mm*20mm) with sensors and actuators useful for health monitoring in physical education

The Application of Wireless Sensor Networks and Wearable Technologies for Educational Purposes

Proceedings of the Second International Conference on Advanced Wireless Information, Data, and Communication Technologies - AWICT 2017

Past researches in wireless sensor networks (WSNs) and wearable technologies have mostly been conducted in the field of healthcare for the purpose of patients' health monitoring. However, recent studies in WSNs and wearable technologies suggest that WSNs and wearable technologies have also been used for educational purposes. Despite current research exploring WSNs and wearable technologies for educational purposes, it is less clear as to what has been studied on WSNs and wearable technologies for educational purposes and the research gaps which need to be addressed. The purpose of this study was therefore to conduct a scoping review on the use of WSN and wearable technologies for educational purposes. The search was conducted through a scoping review which adopted four academic databases: ACM, IEEE Xplore, ScienceDirect and Springer Link. In total, seven publications were identified based on the inclusion and exclusion criteria. The scoping review identified the extent and range of studies which have been conducted on WSNs and wearable technologies for educational purposes. The findings identified the challenges, benefits, cost issues and technology types associated with the use of WSNs and wearable technologies for educational purposes as well as the research gaps. The findings will inform researchers and professionals who desire to improve learning through the use of WSNs and wearable technologies.