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The Smart Stadium VIP team conducts research on sports analytics, machine learning, venue sensing, and fan engagement. The results are integrated and implemented in the Smart Stadium testbed during football games in the stadium at Georgia Tech.

This paper aims to explore the problem of air pollution forecasting, especially the particulate matter (PM) concentration in the air. Other quantities such as air temperature, atmospheric pressure, and relative humidity are also considered. ...

This tutorial introduces participants to the fundamentals and advanced concepts of integrating sensor and actor systems within the Internet of Things (IoT) through hands-on experience with small, portable ad-hoc networks. We will learn to create and ...

Hardware and software advances have paved the way for large-scale environmental urban sensor networks, but there is no guidance on where to place a finite number of nodes and how to assess the network design. In this work, I develop and test two quality ...

Structural Health Monitoring represents an essential tool for detecting timely failures that may cause potential damage to the railway infrastructure, such as extreme weather conditions, natural accidental phenomena, and heavy loads affecting ...

• Wireless Sensor Networks (WSNs) are the preferred choice for the design and deployment of next-generation monitoring and control systems.

Very intelligent compact sensors with low-power and inexpensive solutions have been created because of the industrial revolution and subsequent advancements in electrical technology and wireless communications. Modern innovative ...

Emergency Medical Services (EMS) providers use their hands extensively for the rescue operation and providing care to the patients in an EMS scene. Using smartwatch based sensor data, i.e., accelerometer, gyroscope, and magnetometer, we are developing ...

Along with the recent advancements of lightweight machine learning and powerful systems and hardware platforms, intelligence beyond the edge has become the next tide of IoT. However, multiple barriers exist from data, algorithm, network and hardware ...

Deep neural networks (DNNs) have recently become the standard tool for solving practical problems in various applications, including timely data analysis and near real-time accurate decision-making. DNNs have proven effective in outlier detection, ...

For the heterogeneous big data parallel computing model, two levels of parallelism between nodes are not considered, resulting in low efficiency of heterogeneous big data parallel computing and bandwidth to send and receive information, high communication ...

This work explains the detection of diseases in the body of a human by a breath analysis process using linear regression techniques and a support vector machine. Currently, medical diagnosis is developed using various computing ...

With increasing computational utilities in recent times, the need for systems capable of processing immense and voluminous amount of information has witnessed an exponential rise. Concepts of cloud computing and Big Data have proved to be ...

Accountability and integrity are likely to play a key role in emerging health sensor network environments. Since health sensor devices are low capability devices, they are particularly susceptible to modern cyber threats. Blockchain technology is ...

We have proposed a fish farm monitoring system that collects information from sensors attached to farmed fish in a fish cage. The power for operation of sensor terminal depends on its battery. If the battery runs out of power, it will be impossible to ...

The advent of Low Power Wide Area Networks (LPWAN) has improved the feasibility of wireless sensor networks for environmental sensing across wide areas. We have built EnviSense, an ultra-low power environmental sensing system, and deployed over a dozen ...

LoRa is a popular Low-Power Wide-Area Networking (LP-WAN) technology that allows devices powered by a ten year AA battery to connect to radio infrastructure miles away. One of the most promising features of LoRa is the ability to track the location of ...

With the development of low-cost, low-power sensing and communication technologies, there has been growing interest in the IoT for realizing smart cities, in order to maximize the productivity and reliability of urban infrastructure. One of the most ...

Modern Internet-of-Things (IoT) devices and sensor systems exhibit extreme dynamic current consumption profile, since latest microprocessors and electronics support ultra-low currents in the sleep phase, of only a few nA, while they expend several mA in ...

In this work we demonstrate the ICARUS mote, the first wireless sensor node that features the extremely-low sleep current of 22 nA. To achieve this, we employ an off-chip on-board Real-Time-Clock (RTC) circuit with an ultra-low power consumption ...

People are living longer than ever due to advances in healthcare, and this has prompted many healthcare providers to look towards remote patient care as a means to meet the needs of the future. It is now a priority to enable people to reside in their ...