- Energy Efficient Wireless Sensor Networks
- Mobile Ad Hoc Networks
- Network Traffic and Congestion Control
- Indoor and Outdoor Localization Technologies
- Context-Aware Activity Recognition Systems
- Energy Harvesting in Wireless Networks
- Wireless Networks and Protocols
- Human Mobility and Location-Based Analysis
- Advanced Wireless Network Optimization
- Software-Defined Networks and 5G
- Advanced Optical Network Technologies
- Privacy-Preserving Technologies in Data
- Mobile Crowdsensing and Crowdsourcing
- Transportation Planning and Optimization
- Gait Recognition and Analysis
- Mobile Health and mHealth Applications
- Bluetooth and Wireless Communication Technologies
- Tactile and Sensory Interactions
- Heart Failure Treatment and Management
- Opportunistic and Delay-Tolerant Networks
- Caching and Content Delivery
- Mobile Agent-Based Network Management
- Peer-to-Peer Network Technologies
- Anomaly Detection Techniques and Applications
- Gaze Tracking and Assistive Technology
University of South Florida
2013-2024
University of Pittsburgh
1999-2020
Community College of Philadelphia
2020
Universidad Autónoma de Bucaramanga
2020
Tecnológico de Monterrey
2020
University of Tampa
2017
University of Turabo
2014
Universidad del Norte
2014
Anna University, Chennai
2013
Universidad Complutense de Madrid
2010
Providing accurate and opportune information on people's activities behaviors is one of the most important tasks in pervasive computing. Innumerable applications can be visualized, for instance, medical, security, entertainment, tactical scenarios. Despite human activity recognition (HAR) being an active field more than a decade, there are still key aspects that, if addressed, would constitute significant turn way people interact with mobile devices. This paper surveys state art HAR based...
According to nihseniorhealth.gov (a website for older adults), falling represents a great threat as people get older, and providing mechanisms detect prevent falls is critical improve people's lives. Over 1.6 million U.S. adults are treated fall-related injuries in emergency rooms every year suffering fractures, loss of independence, even death. It clear then, that this problem must be addressed prompt manner, the use pervasive computing plays key role achieve this. Fall detection (FD) fall...
Participatory sensing (PS) systems rely on the willingness of mobile users to participate in collection and reporting data using a variety sensors either embedded or integrated their cellular phones. However, this new paradigm has not been very successful yet mainly because lack incentives for participation. Although several incentive schemes have proposed encourage user participation, none used location information imposed budget coverage constraints, which will make scheme more realistic...
Travel surveys collect trip data such as origin, destination, mode, duration, distance and purpose of trips, well socioeconomic demographic for analysis. Transportation planners, policymakers, state departments transportation, metropolitan planning organisations, industry professionals academic researchers use survey to better understand the current demand performance transportation infrastructure, plan in preparation future growth. Next-generation travel will utilise global positioning...
Context-aware applications have been the focus of extensive research yet their implementation in mobile devices usually becomes challenging due to restrictions regards processing power and energy. In this paper, we propose a platform provide real-time human activity recognition. Our system features (1) an efficient library, MECLA, for evaluation classification algorithms; (2) application recognition running within Body Area Network. The indicates that can be implemented real scenarios...
This article presents P-Sense, a participatory sensing application for air pollution monitoring and control. The paper describes in detail the system architecture individual components of successfully implemented application. In addition, points out several other research-oriented problems that need to be addressed before these applications can effectively practice, large-scale deployment. Security, privacy, data visualization validation, incentives are part our work-in-progress activities
More than 8.6 million people suffer from neurological disorders that affect their gait and balance. Physical therapists provide interventions to improve patient’s functional outcomes, yet balance are often evaluated in a subjective observational manner. The use of quantitative methods allows for assessment tracking patient progress during after rehabilitation or early diagnosis movement disorders. This paper surveys the state-of-the-art wearable sensor technology gait, balance, range motion...
Background: Heart failure (HF) is a progressive chronic disease affecting 6.5 million Americans and over 15 individuals globally. Patients with HF are required to engage in complex self-care behaviors. Although the advancements medicine have enabled people live longer, they often poor health-related quality of life experience severe frequent symptoms that limit several aspects their lives. Mobile phone apps not only created new interactive ways communication between patients health care...
Crowdsensing (CS) is a new data collection paradigm based on the willingness of people to utilize their mobile devices sense and transmit interest. Given large amount cellular users, sensor networks will be able collect enough address large-scale societal problems in fast, easy, cost-effective manner. One important issue CS that privacy; without appropriate privacy-preserving mechanisms, many users not willing participate process. This paper presents state-of-the-art mechanisms for systems....
Participatory Sensing (PS) is a new data collection paradigm based on the voluntary participation of many cellular users equipped with smart applications, large diversity sensors, and Internet connectivity at all times. Although PS-based applications can be foreseen to solve interesting useful problems, them have not been fully implemented used in practice because privacy concerns. Compounding problem, privacy-preserving mechanisms introduce additional issues. For example, one most important...
Topology control is a well-known strategy to save energy and extend the lifetime of wireless sensor networks. This paper introduces A3 (a tree) algorithm, simple, distributed, energy-efficient topology construction mechanism that finds sub-optimal Connected Dominating Set (CDS) turn unnecessary nodes off while keeping network connected providing complete communication coverage. utilizes weighted distance-energy-based metric permits operator trade lengths branches (distance) for robustness...
The pervasiveness of cellular phones combined with Internet connectivity, GPS embedded chips, location information, and integrated sensors provide an excellent platform to collect data about the individual its surrounding environment. As a result, new applications have recently appeared address large-scale societal problems as well improve quality life individual. However, these applications, called location-based services, participatory sensing, human-centric bring many challenges, one them...
Topology Control is a well-known technique for saving energy in wireless sensor networks. Despite the fact that topology control algorithms and protocols have been extensively studied, they are currently unavailable most, if not all, simulation tools. In this work we introduce Atarraya, discret
In recent years, smart-phones and GPS-enabled devices have been a critical factor in the popularization increasing demand of location based information systems. However, at same time, concern privacy has also increased on users who would like to protect their exact from attackers or service provider. One technique is called Location Obfuscation, which consists non reversible ways slightly alter such that it does not reflect real user, but still contains enough provide satisfactory service....
Heart failure is a complex syndrome among older adults who may experience and interpret symptoms differently. These differences in symptom interpretation influence decision-making management. A well-informed motivated person develop the knowledge skills needed to successfully manage symptoms. Therefore, patient-centered mobile health application HeartMapp was designed engage patients with heart self-care management by offering tailored alerts feedback using phones. The main objective of this...
Selective packet dropping policies have been used to reduce congestion and transmission of traffic that would inevitably be retransmitted. For data applications using best-effort services, (PDPs) are management mechanisms implemented at each intermediate node decide, reactively or proactively, drop packets free up precious buffer space. While the primary goal PDPs is avoid combat congestion, individual PDP designs can significantly affect application throughput, network utilization,...
Advanced location based services have the ability to track users with Global Positioning System (GPS)-enabled cell phones in real-time. These applications share a common problem; continuous calculation and transmission of GPS fixes from mobile phone server consumes considerable amount energy increases data costs. Therefore, an application-level algorithm is necessary reduce number calculated transmitted, while continuing user real-time record accurate representation his or her travel path....
This paper presents a multiobjective model for the simultaneous optimization of number relays and energy dissipation when deploying wireless sensor networks to monitor specific locations in an area. In order solve model, hybrid evolutionary algorithm with two local searches is proposed implemented. As returns set efficient solutions, tradeoff among placements their explored. The evaluation shows that can be diminished greatly by choosing not most placement terms but other more relays. our...