• Fatigue-Induced Cole Electrical Impedance Model Changes of Biceps Tissue Bioimpedance 

  Freeborn, Todd; Fu, Bo (2018)

  Bioimpedance, or the electrical impedance of biological tissues, describes the passive electrical properties of these materials. To simplify bioimpedance datasets, fractional-order equivalent circuit presentations are often ...
• Polyferrocenylsilane Semicrystalline Polymer Additive for Solution-Processed p-Channel Organic Thin Film Transistors 

  He, Zhengram; Zhang, Ziyang; Asare-Yeboah, Kyeiwaa; Bi, Sheng; Chen, Jihua; Li, Dawen (2021)

  In this study, we demonstrated for the first time that a metal-containing semicrystalline polymer was used as an additive to mediate the thin film morphology of solution-grown, small-molecule organic semiconductors. By ...
• Cole-Impedance Model Representations of Right-Side Segmental Arm, Leg, and Full-Body Bioimpedances of Healthy Adults: Comparison of Fractional-Order 

  Freeborn, Todd J.; Critcher, Shelby (2021)

  The passive electrical properties of a biological tissue, referred to as the tissue bioimpedance, are related to the underlying tissue physiology. These measurements are often well-represented by a fractional-order equivalent ...
• Ankle Angle Prediction Using a Footwear Pressure Sensor and Machine Learning Technique 

  Choffin, Zachary; Jeong, Nathan; Callihan, Michael; Olmstead, Savannah; Sazanov, Edward; Thakral, Sarah; Getchell, Camilee; Lombardi, Vito (2021)

  Ankle injuries may adversely increase the risk of injury to the joints of the lower extremity and can lead to various impairments in workplaces. The purpose of this study was to predict the ankle angles by developing a ...
• A Fast and Efficient Coordinated Vehicle-to-Grid Discharging Control Scheme for Peak Shaving in Power Distribution 

  Erdogan, Nuh; Erden, Fatih; Kisacikoglu, Mithat (2018)

  This study focuses on the potential role of plugin electric vehicles (PEVs) as a distributed energy storage unit to provide peak demand minimization in power distribution systems. Vehicle-to-grid (V2G) power and currently ...
• Multi-Frequency RF Sensor Fusion for Word-Level Fluent ASL Recognition 

  Gurbuz, Sevgi Z.; Rahman, M. Mahbubur; Kurtoglu, Emri; Malaia, Evie; Gurbuz, Ali C.; Griffin, Darrin J.; Crawford, Chris (2021)

  Deaf spaces are unique indoor environments designed to optimize visual communication and Deaf cultural expression. However, much of the technological research geared towards the deaf involve use of video or wearables for ...
• Deep Neural Network Initialization Methods for Micro-Doppler Classification with Low Training Sample Support 

  Seyfioğlu, Mehmet Saygın; Gurbuz, Sevgi Zubeyde (2017)

  Deep neural networks (DNNs) require large-scale labeled datasets to prevent overfitting while having good generalization. In radar applications, however, acquiring a measured dataset on the order of thousands is challenging ...
• Deep Convolutional Autoencoder for Radar-Based Classification of Similar Aided and Unaided Human Activities 

  Seyfioğlu, Mehmet Saygın; Özbayoğlu, Ahmet Murat; Gürbüz, Sevgi Zubeyde (2018)

  Radar-based activity recognition is a problem that has been of great interest due to applications such as border control and security, pedestrian identification for automotive safety, and remote health monitoring. This ...
• Multi-Frequency RF Sensor Data Adaptation for Motion Recognition with Multi-Modal Deep Learning 

  Rahman, M. Mahbubur; Gurbuz, Sevgi Z. (2021)

  The widespread availability of low-cost RF sensors has made it easier to construct RF sensor networks for motion recognition, as well as increased the availability of RF data across a variety of frequencies, waveforms, and ...
• Cross-Frequency Training with Adversarial Learning for Radar Micro-Doppler Signature Classification 

  Gurbuz, Sevgi Z.; Rahman, M. Mahbubur; Kurtoglu, Emre; Macks, Trevor; Fioranelli, Francesco (2020)

  Deep neural networks have become increasingly popular in radar micro-Doppler classification; yet, a key challenge, which has limited potential gains, is the lack of large amounts of measured data that can facilitate the ...
• Residential Active/Reactive Power Consumption, Voltage, and Frequency Data for a House in Alabama 

  Ucer, Emin; Rahman, Shahinur; McDonald, Andrew; Kisacikoglu, Mithat C. (2019)

  This file contains one second resolution residential power consumption, voltage, and frequency data of a typical house in Alabama. Active and reactive power consumption of the total house as well as the voltage and frequency ...
• Performance Testing of Wireless Intelligent Sensor and Actuator Network (WISAN) on a Pre-Stressed Concrete Bridge 

  Zain, M. F. M.; Krishnamurthy, V.; Sazonov, E.; Jamil, M.; Taib, I. M. (2008)

  With advances in sensor technology and availability of low cost integrated circuits, a wireless monitoring sensor network has been considered to be the new generation technology for structural health monitoring. ...
• Meal Microstructure Characterization from Sensor-Based Food Intake Detection 

  Doulah, Abul; Farooq, Muhammad; Yang, Xin; Parton, Jason M.; McCrory, Megan A.; Higgins, Janine A.; Sazonov, Edward (2017-07-17)

  To avoid the pitfalls of self-reported dietary intake, wearable sensors can be used. Many food ingestion sensors offer the ability to automatically detect food intake using time resolutions that range from 23 ms to 8 ...
• Monitoring of Infant Feeding Behavior Using a Jaw Motion Sensor 

  Farooq, Muhammad; Chandler-Laney, Paula C.; Hernandez-Reif, Maria; Sazonov, Edward (2015)

  Rapid weight gain during infancy increases the risk of obesity. Given that infant feeding may contribute to rapid weight gain, it would be useful to develop objective tools which can monitor infant feeding behavior. This ...
• Bandwidth Optimization in 802.15.4 Networks through Evolutionary Slot Assignment 

  Krishnamurthy, Vidya; Sazonov, Edward (2009-09)

  Traditional Wireless Sensor Networks (WSNs) based on carrier sense methods for channel access suffer from reduced bandwidth utilization, increase energy consumptions and latency problems in networks with high traffic. ...
• A Comparative Review of Footwear-Based Wearable Systems 

  Hegde, Nagaraj; Bries, Matthew; Sazonov, Edward (2016-08-10)

  Footwear is an integral part of daily life. Embedding sensors and electronics in footwear for various different applications started more than two decades ago. This review article summarizes the developments in the field ...
• A Novel Wearable Device for Food Intake and Physical Activity Recognition 

  Farooq, Muhammad; Sazonov, Edward (2016-07-11)

  Presence of speech and motion artifacts has been shown to impact the performance of wearable sensor systems used for automatic detection of food intake. This work presents a novel wearable device which can detect food ...
• SmartStep: A Fully Integrated, Low-Power Insole Monitor 

  Hegde, Nagaraj; Sazonov, Edward (2014-06-18)

  Shoe-mounted wearable sensors can be used in applications, such as activity monitoring, gait analysis, post-stroke rehabilitation, body weight measurements and energy expenditure studies. Such wearable sensors typically ...
• Automatic Measurement of Chew Count and Chewing Rate during Food Intake 

  Farooq, Muhammad; Sazonov, Edward (2016-09-23)

  Research suggests that there might be a relationship between chew count as well as chewing rate and energy intake. Chewing has been used in wearable sensor systems for the automatic detection of food intake, but little ...
• Development of a Multisensory Wearable System for Monitoring Cigarette Smoking Behavior in Free-Living Conditions 

  Imtiaz, Masudul Haider; Ramos-Garcia, Raul I.; Senyurek, Volkan Yusuf; Tiffany, Stephen; Sazonov, Edward (2017-11-28)

  This paper presents the development and validation of a novel multi-sensory wearable system (Personal Automatic Cigarette Tracker v2 or PACT2.0) for monitoring of cigarette smoking in free-living conditions. The contributions ...

View more