ORCID Profile
0000-0002-2161-8622
Current Organisations
University of Colorado at Boulder
,
Macquarie University
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Distributed Computing | Computational Logic and Formal Languages | Mobile Technologies
Publisher: Wiley
Date: 02-09-2005
Publisher: ACM
Date: 09-04-2018
Publisher: IEEE Comput. Soc
Date: 2003
Publisher: Association for Computing Machinery (ACM)
Date: 08-09-2015
DOI: 10.1145/2744203
Abstract: We present algorithms for gesture recognition using in-network processing in distributed sensor arrays embedded within systems such as tactile input devices, sensing skins for robotic applications, and smart walls. We describe three distributed gesture-recognition algorithms that are designed to function on sensor arrays with minimal computational power, limited memory, limited bandwidth, and possibly unreliable communication. These constraints cause storage of gesture templates within the system and distributed consensus algorithms for recognizing gestures to be difficult. Building up on a chain vector encoding algorithm commonly used for gesture recognition on a central computer, we approach this problem by iding the gesture dataset between nodes such that each node has access to the complete dataset via its neighbors. Nodes share gesture information among each other, then each node tries to identify the gesture. In order to distribute the computational load among all nodes, we also investigate an alternative algorithm, in which each node that detects a motion will apply a recognition algorithm to part of the input gesture, then share its data with all other motion nodes. Next, we show that a hybrid algorithm that distributes both computation and template storage can address trade-offs between memory and computational efficiency.
Publisher: ACM
Date: 31-10-2006
Publisher: ACM
Date: 06-11-2017
Publisher: Association for Computing Machinery (ACM)
Date: 17-12-2021
DOI: 10.1145/3434151
Publisher: Wiley
Date: 05-06-2010
DOI: 10.1890/080130
Publisher: Association for Computing Machinery (ACM)
Date: 2004
Abstract: Time synchronization in a wireless sensor network is critical for accurate timest ing of events and fine-tuned coordination of wake/sleep duty cycles to reduce power consumption. This paper proposes TSync, a novel lightweight bidirectional time synchronization service for wireless sensor networks. TSync's bidirectional service offers both a push mechanism for accurate and low overhead global time synchronization as well as a pull mechanism for on-demand synchronization by in idual sensor nodes. Multi-channel enhancements improve TSync's performance. We deploy a GPS-enabled framework in live sensor networks to evaluate the accuracy and overhead of TSync in comparison with other in-situ time synchronization algorithms.
Publisher: Springer Science and Business Media LLC
Date: 03-1999
Publisher: ACM
Date: 16-06-2017
Publisher: ACM Press
Date: 2010
Publisher: ACM
Date: 06-11-2007
Publisher: ACM
Date: 25-08-2015
Publisher: Springer Science and Business Media LLC
Date: 08-2005
Publisher: Wiley
Date: 18-06-2013
DOI: 10.1002/WSB.303
Publisher: Springer International Publishing
Date: 2017
Publisher: IEEE
Date: 11-2012
Publisher: Springer International Publishing
Date: 2020
Publisher: American Institute of Aeronautics and Astronautics
Date: 19-06-2004
DOI: 10.2514/6.2004-6530
Publisher: ACM
Date: 21-08-2015
Publisher: IEEE
Date: 2005
Publisher: ACM
Date: 26-06-2016
Publisher: IEEE
Date: 07-2018
Publisher: IEEE
Date: 06-2008
Publisher: Springer International Publishing
Date: 2015
Publisher: Springer International Publishing
Date: 2015
Publisher: IEEE
Date: 12-2011
Publisher: ACM
Date: 13-05-2019
Publisher: ACM
Date: 09-12-2019
Publisher: Elsevier BV
Date: 04-2006
Publisher: ACM
Date: 31-07-2017
Publisher: MDPI AG
Date: 07-08-0005
Abstract: Delivery drones typically perform delivery by suspending the parcel vertically or landing the drone to drop off the package. However, because of the constrained landing area and the requirement for precise navigation, delivering items to customers who reside in multi-story apartment complexes poses a unique challenge. This research paper proposes a novel drone delivery system for multi-story apartment buildings with balconies that employ two methods for Vertical Grid Screening (VGS), i.e., Grid Screening (GS) and Square Screening (SS), to detect unique markers to identify the precise balcony that needs to receive the product. The developed drone has a frame size of 295 mm and is equipped with a stereo camera and a ranging sensor. The research paper also explores the scanning and trajectory methods required for autonomous flight to accurately approach the marker location. The proposed machine learning system is trained on a YOLOv5 model for image recognition of the marker, and four different models and batch sizes are compared. The 32-batch size with a 960 × 1280 resolution model provides an average of 0.97 confidence for an extended range. This system is tested outdoors and shows an accuracy of 95% for a planned trajectory with 398 ms detection time as a solution for last-mile delivery in urban areas.
Publisher: IEEE
Date: 2005
Publisher: IEEE
Date: 2003
Publisher: Springer Berlin Heidelberg
Date: 2012
Publisher: ACM
Date: 18-06-2023
Publisher: ACM Press
Date: 2010
Publisher: Elsevier BV
Date: 2006
Publisher: IEEE
Date: 2006
Publisher: Springer Science and Business Media LLC
Date: 29-09-2016
Publisher: IEEE
Date: 12-2014
Publisher: IEEE
Date: 11-2020
Publisher: ACM
Date: 13-06-2007
Publisher: ACM
Date: 18-05-2015
Publisher: Hindawi Limited
Date: 2016
DOI: 10.1155/2016/1693460
Abstract: Biologists and ecologists often monitor the spread of disease among deer in the wild by using tracking systems that record their movement patterns, locations, and interaction behavior. The existing commercial systems for monitoring wild deer utilize collars with GPS sensors, deployed on captured and rereleased deer. The GPS sensors record location data every few hours, enabling researchers to approximate the interaction behavior of tracked deer with their GPS locations. However, the coarse granularity of periodically recorded GPS location data provides only limited precision for determining deer interaction behavior. We have designed a novel system to monitor wild deer interaction behavior more precisely in harsh wilderness environments. Our system combines the functionalities of both GPS and RF-radio sensors with low-cost and minimal-resource motes. We designed and built our system to be able to operate robustly for a period of up to several months for continual tracking and monitoring of the locations and interaction behaviors of wild deer in harsh environments. We successfully deployed six deer collars on six wild deer that were captured and rereleased in the Soapstone Prairie Natural Area of northern Colorado over a one-month period. In this paper, we describe how we designed and built this system and evaluate its successful operation in a wilderness area.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-1996
DOI: 10.1109/98.490749
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2007
Publisher: ICST
Date: 2014
Publisher: IEEE
Date: 08-2016
Publisher: IEEE
Date: 2003
Publisher: ACM
Date: 31-10-2003
Publisher: IEEE
Date: 2004
Publisher: ACM
Date: 25-08-2015
Publisher: ACM
Date: 08-09-2013
Publisher: ACM
Date: 12-06-2019
Publisher: IEEE
Date: 2005
Publisher: ACM
Date: 12-08-2012
Publisher: IEEE
Date: 2005
Publisher: ACM
Date: 27-03-2023
Publisher: IEEE
Date: 2009
DOI: 10.1109/CSE.2009.243
Publisher: Association for Computing Machinery (ACM)
Date: 21-10-2015
DOI: 10.1145/2808207
Abstract: Augmented reality (AR) applications have recently become popular on modern smartphones. We explore the effectiveness of this mobile AR technology in the context of grocery shopping, in particular as a means to assist shoppers in making healthier decisions as they decide which grocery products to buy. We construct an AR-assisted mobile grocery-shopping application that makes real-time, customized recommendations of healthy products to users and also highlights products to avoid for various types of health concerns, such as allergies to milk or nut products, low-sodium or low-fat diets, and general caloric intake. We have implemented a prototype of this AR-assisted mobile grocery shopping application and evaluated its effectiveness in grocery store aisles. Our application's evaluation with typical grocery shoppers demonstrates that AR overlay tagging of products reduces the search time to find healthy food items, and that coloring the tags helps to improve the user's ability to quickly and easily identify recommended products, as well as products to avoid. We have evaluated our application's functionality by analyzing the data we collected from 15 in-person actual grocery-shopping subjects and 104 online application survey participants.
Publisher: Wiley
Date: 05-09-2012
DOI: 10.1002/WSB.188
Publisher: IEEE
Date: 2007
Publisher: Association for Computing Machinery (ACM)
Date: 07-2013
Abstract: Online video chat services such as Chatroulette, Omegle, and vChatter that randomly match pairs of users in video chat sessions are quickly becoming very popular, with over a million users per month in the case of Chatroulette. A key problem encountered in such systems is the presence of flashers and obscene content. This problem is especially acute given the presence of underage minors in such systems. This article presents SafeVchat, a novel solution to the problem of flasher detection that employs an array of image detection algorithms. A key contribution of the article concerns how the results of the in idual detectors are fused together into an overall decision classifying a user as misbehaving or not, based on Dempster-Shafer theory. The article introduces a novel, motion-based skin detection method that achieves significantly higher recall and better precision. The proposed methods have been evaluated over real-world data and image traces obtained from Chatroulette.com. SafeVchat has been deployed in Chatroulette. A combination of SafeVchat with human moderation has resulted in banning as many as 50,000 inappropriate users per day on Chatoulette. Furthermore, offensive content on Chatoulette has dropped significantly from 33.08% (before SafeVchat installation) to 3.49% (after SafeVchat installation).
Publisher: Springer Berlin Heidelberg
Date: 2003
Publisher: Springer Nature Switzerland
Date: 2023
Publisher: ACM
Date: 08-1999
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 1998
DOI: 10.1109/98.736473
Publisher: IEEE Comput. Soc. Press
Date: 1995
Publisher: ACM Press
Date: 2006
Publisher: IEEE
Date: 2003
Publisher: Elsevier
Date: 2001
Publisher: ACM Press
Date: 2018
Publisher: ACM
Date: 28-03-2011
Publisher: ACM
Date: 08-02-2012
Publisher: SPIE
Date: 06-1991
DOI: 10.1117/12.45399
Publisher: ACM
Date: 31-10-2006
Publisher: SPIE
Date: 25-03-1996
DOI: 10.1117/12.235864
Publisher: Springer Science and Business Media LLC
Date: 24-11-2012
Abstract: There currently exist widely used mobile phone emergency applications for the smartphone and limited mobile emergency applications for indoor environments. However, the outdoor applications only focus primarily on providing accident information to users, and the indoor applications are limited by the unavailability of GPS user-positioning and by WiFi-based access problems. To compensate for these limitations, we propose the RescueMe system, which uses an indoor mobile Augmented Reality application, personalized pedometry, and an optimal exit path algorithm. Together these components comprise a system that can quickly and easily recommend an efficient exit path to mobile phone users in emergency situations. We have developed the mobile-based RescueMe system for use in large-scale buildings that contain complex paths. We show how RescueMe leverages the sensors on a smartphone and utilizes Augmented Reality, cloud information, daily-based user walking patterns, and an adaptive GPS connection method, to deliver critical evacuation information to mobile phone users in indoor emergency situations.
Publisher: Springer Berlin Heidelberg
Date: 2012
Publisher: Springer Berlin Heidelberg
Date: 2009
Publisher: Inderscience Publishers
Date: 2006
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2008
Publisher: ACM
Date: 25-06-2012
Publisher: IEEE
Date: 08-2014
Publisher: ACM
Date: 07-11-2005
Location: United States of America
Location: United States of America
Start Date: 2011
End Date: 2014
Funder: Directorate for Computer & Information Science & Engineering
View Funded ActivityStart Date: 2003
End Date: 2007
Funder: Directorate for Computer & Information Science & Engineering
View Funded ActivityStart Date: 2015
End Date: 2019
Funder: Directorate for Computer & Information Science & Engineering
View Funded ActivityStart Date: 2013
End Date: 2019
Funder: Directorate for Computer & Information Science & Engineering
View Funded ActivityStart Date: 2012
End Date: 2016
Funder: Directorate for Computer & Information Science & Engineering
View Funded ActivityStart Date: 2009
End Date: 2009
Funder: Directorate for Engineering
View Funded ActivityStart Date: 2008
End Date: 2013
Funder: Directorate for Biological Sciences
View Funded ActivityStart Date: 2004
End Date: 2009
Funder: Directorate for Computer & Information Science & Engineering
View Funded ActivityStart Date: 2002
End Date: 2008
Funder: Directorate for Computer & Information Science & Engineering
View Funded ActivityStart Date: 2006
End Date: 2009
Funder: Directorate for Biological Sciences
View Funded ActivityStart Date: 06-2022
End Date: 06-2025
Amount: $459,593.00
Funder: Australian Research Council
View Funded Activity