@conference {523, title = {A Collaborative and Adaptive Feedback System for Physical Exercises}, booktitle = {2021 IEEE 7th International Conference on Collaboration and Internet Computing (CIC)}, year = {2021}, publisher = {IEEE}, organization = {IEEE}, address = {Atlanta, GA, USA}, abstract = {

Maintaining motivation to meet physical exercise goals is a big challenge in virtual/home-based exercise guidance systems. Lack of motivation, long-maintained bad daily routines, and fear of injury are some of the reasons that cause this hesitation. This paper proposes a reinforcement learning-based virtual exercise assistant capable of providing encouragement and customized feedback on body movement form over time. Repeated arm curls were observed and tracked using single and dual-camera systems using the Posenet pose estimation library. To accumulate enough experience across individuals, the reinforcement learning model was collaboratively trained by subjects. The proposed system is tested on 36 subjects. Behavioral changes are apparent in 31 of the 36 subjects, with 31 subjects reducing movement errors over time and 15 subjects completely eliminating the errors. The system was analyzed for which types of feedback provided the highest expected value, and feedback directly related to the previous mistake provided the highest valued feedback ( p\<0.0133 ). The result showed that the Reinforcement Learning system provides meaningful feedback and positively impacts behavior progress.

}, keywords = {Distributed Machine Learning, Human-Computer Interaction, Pose Estimation, Reinforcement Learning}, isbn = {978-1-6654-1625-2}, doi = {10.1109/CIC52973.2021.00012}, url = {https://ieeexplore.ieee.org/abstract/document/9707166}, author = {Ranasinghe, Ishan and Yuan, Chengping and Dantu, Ram and Albert, Mark V.} } @conference {543, title = {Cyber-Physiotherapy: Rehabilitation to Training}, booktitle = {2021 IFIP/IEEE International Symposium on Integrated Network Management (IM)}, year = {2021}, publisher = {IEEE}, organization = {IEEE}, address = {Bordeaux, France}, abstract = {

Cutting-edge Human-Computer Interaction (HCI) technologies embedded with Machine Learning (ML) will cause a paradigm shift in various domains, including manufacturing and developing facilities and services for professional and personal use. ML implemented HCIs can help people overcome societal challenges brought about by the COVID-19 pandemic. We introduce a system for people to perform physical exercises at home. This system is intended to help a range of demographics, from non-critical physical therapy patients to experienced weightlifters. More specifically, we propose a method to assess the difficulty of an exercise for visual exercise tracking systems. Pose estimation tracks exercises and reinforcement learning provides autonomous feedback to the user (patient/athlete). This information is processed largely on the client side, allowing the application to run smoothly anywhere in the world.

}, keywords = {Fitts{\textquoteright}s law, Human-Computer Interaction, Index of Difficulty, Pose Estimation, Reinforcement Learning}, isbn = {978-3-903176-32-4}, url = {https://ieeexplore.ieee.org/abstract/document/9464036}, author = {Ranasinghe, Ishan and Dantu, Ram and Albert, Mark V. and Watts, Sam and Ocana, Ruben} } @conference {403, title = {Blockchain Based Authentication and Authorization Framework for Remote Collaboration Systems}, booktitle = {2019 IEEE 20th International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM)}, year = {2019}, month = {June}, abstract = {

Due to the advantages of blockchain technologies, including decentralization, immutability, transparency and security, people try to replace existing problematic architectures /frameworks with blockchain based ones. In this paper we propose a novel authentication and authorization framework based on blockchain technologies to control access to the resources of an IoT device. In this paper, we focus on devices such as the Cyber Handyman used in remote collaboration applications to develop our framework. We tested our smart contracts on the Ropsten test network. Our results showed that it can handle 25 service requests simultaneously.

}, keywords = {Access Control, authorization, blockchain, Digital Certificate, IoT, remote collaboration, Security}, doi = {10.1109/WoWMoM.2019.8792994}, author = {Widick, Logan and Ranasinghe, Ishan and Dantu, Ram and Jonnada, Srikanth} } @conference {346, title = {Cyber Handyman and Nursing for Humanitarian Services and Disaster Relief}, booktitle = {2018 IEEE International Symposium on Technologies for Homeland Security (HST)}, year = {2018}, month = {Oct}, abstract = {

Calamities cause immense damage to the lives and properties; emergency management and humanitarian support have always been a challenge in the disaster-hit areas due to deficiency of skilled workforce and increase in demand for available experts. Not all the volunteers have the required technical expertise to handle those situations, utilizing the services of the remotely located experts to enhance the skills of the volunteers can help them to handle the situations efficiently. The existing communication mechanisms do not have the capabilities required for collaborating people over physical tasks, which is crucial during the emergency situations. In this paper, we present two novel remote collaboration systems, Cyber-Handyman and Cyber-Nurse using which the less-trained and inexperienced aid workers can enhance their capabilities with the help from remote experts. These units will be deployed in the disaster sites, and the remote experts access and control the sensors on it to guide the aid workers or the victims. The efficiency of the collaboration over physical tasks, which is vital during emergency situations, depends on the complexity of the protocols utilized and the efficiency of the collaboration system. We also propose a methodology to evaluate the protocol complexity and efficiency of the system. Our experiments and results show that with our collaboration system a remote helper can successfully guide the workers in performing a physical task with minimum difficulty.

}, keywords = {Collaboration, collaboration system, common grounding, Complexity theory, Entropy, Grounding, helper-worker collaboration, human-human collaboration, human-machine collaboration, protocol complexity theory, Protocols, remote collaboration, Senior citizens, Task analysis, voice over IP}, doi = {10.1109/THS.2018.8574176}, author = {Jonnada, Srikanth and Ram Dantu and Ranasinghe, Ishan} } @conference {322, title = {A Decentralized Marketplace Application on the Ethereum Blockchain}, booktitle = {IEEE 4th International Conference on Collaboration and Internet Computing (CIC)}, year = {2018}, month = {10/2018}, publisher = {IEEE}, organization = {IEEE}, address = {Philadelphia, PA, USA}, abstract = {

Modern centralized online marketplaces such as eBay offer an alternative option for consumers to both sell and purchase goods with relative ease. However, drawbacks to these marketplaces include the platform{\textquoteright}s ability to block merchants at their own whim, the fees paid to the platform when listing a product and when selling a product, and the lack of privacy of users{\textquoteright} data. In this paper, we propose an application that remedies all three of these drawbacks through use of the Ethereum blockchain platform. The application was developed using the Truffle development framework. The application{\textquoteright}s functions were contained within an Ethereum smart contract, which was then migrated to the Ethereum network. The user{\textquoteright}s input was read through a web interface and sent to the Ethereum network via the web3.js API. Statistics about the application were gathered on the Rinkeby test network. The application was shown to have an average transaction runtime of 3.8 seconds, and an average gas consumption of 4.6 wei. Contract creation times for the application were shown to be less than a second. A cost analysis of the application was then conducted. The gas consumption of the transactions needed to both buy and sell a product was converted into US dollars, and the gas cost of the application was then compared to the cost to use an online auction marketplace such as eBay as well as an in-person auction house such as Sotheby{\textquoteright}s. The results showed that selling on the application is cheaper than existing online options as well as existing in-person options. These tests showed that our application was successful in addressing the drawbacks of current auction marketplaces.

}, keywords = {API, application program interfaces, auction marketplaces, average gas consumption, blockchain, centralized online marketplaces, Computer science, contract creation times, cost analysis, Cryptocurrency, decentralized, decentralized marketplace application, e-commerce, eBay, electronic commerce, Ethereum, Ethereum blockchain platform, Ethereum network, Ethereum smart contract, gas cost, human factors, in-person options, Internet, marketplace, Measurement, online auction marketplace, online options, peer-to-peer computing, Rinkeby test network, security of data, smart contract, Truffle development framework, user data, user interfaces, Web interface}, doi = {10.1109/CIC.2018.00023}, author = {Ranganthan, Vishnu Prasad and Ram Dantu and Paul, Aditya and Mears, Paula and Morozov, Kirill} } @conference {310, title = {An OAuth-Based Authorization Framework for Access Control in Remote Collaboration Systems}, booktitle = {National Cyber Summit}, year = {2018}, month = {06/2018}, address = {Huntsville, Alabama, USA}, abstract = {

Advanced human computer interaction systems have made it possible for helpers (professionals) to remotely collaborate with workers (individuals seeking assistance from the professionals). For example, a professional can remotely help a worker fix automobiles or electronics, identify how much of what medication to take, or perform household repairs. We have presented a system, Collaborative Appliance for Remote-help (CARE) that allows for such collaborations. Our system allows a skilled professional or other helper to remotely access and control a worker{\textquoteright}s locally deployed resources over the Internet. These locally deployed resources may include cameras, microphones, speakers, processors, and memory. The remote helper then directs the worker to perform specific tasks to complete the job at hand. Like other Internet of Things (IoT) based systems, CARE is inputconstrained. That is, a worker cannot provide input via a touch screen or keyboard.

The resources are accessed over the Internet. Thus, security and privacy are big concerns. In this paper, we present the authorization and access control framework for the inputconstrained CARE system. This framework has been implemented using the OAuth 2.0 Authorization Framework and has been designed to meet the needs of resource owners who have no technical knowledge. We have shown that our proposed framework is very effective and consistent with the access control guidelines set by the National Institute of Standards and Technology (NIST).

}, author = {Jonnada, Srikanth and Ram Dantu and Shrestha, Pradhumna and Ranasinghe, Ishan and Widick, Logan} } @article {388, title = {On the security of the Courtois-Finiasz-Sendrier signature}, year = {2018}, isbn = {23915455}, url = {https://www.degruyter.com/view/j/math.2018.16.issue-1/math-2018-0011/math-2018-0011.xml}, author = {Morozov, Kirill and Sarathi, Roy Partha and Rainer, Steinwandt and Rui, Xu} } @article {358, title = {Technologies Shaping Transportation of the Future and Smart Cities}, year = {2018}, abstract = {

Connected vehicles and smart cities are two massively transformational technologies. We are already seeing an impact with the investments in economy and society in the connected vehicles and cities. While the private-sector leads the connected car technology investments, the technological development and smart cities innovation is led by state and local governments.\ 

}, author = {Davis, Jeff and Johnson, Steve and LeVine, Minna and Ram Dantu and Rojas-Levi, Elizabeth} }