What is he best known for?
The fields of study he is best known for:
- Computer network
- The Internet
- Operating system
His scientific interests lie mostly in Computer network, Participatory sensing, Wireless, Wireless sensor network and Global Positioning System.
He focuses mostly in the field of Computer network, narrowing it down to topics relating to Scalability and, in certain cases, Transmission Control Protocol, Internet protocol suite, Packet loss and Asynchronous Transfer Mode.
His Wireless sensor network research integrates issues from Network topology, Algorithm design and Topology control.
In his research, Real-time computing and Mobile device is intimately related to Assisted GPS, which falls under the overarching field of Mobile radio.
His Mobile device study integrates concerns from other disciplines, such as Context awareness, Multimedia, Wearable computer and Human–computer interaction.
His study looks at the relationship between Ubiquitous computing and fields such as Flexibility, as well as how they intersect with chemical problems.
His most cited work include:
- A Survey on Human Activity Recognition using Wearable Sensors (1420 citations)
- A location-based incentive mechanism for participatory sensing systems with budget constraints (230 citations)
- Survey on Fall Detection and Fall Prevention Using Wearable and External Sensors (181 citations)
What are the main themes of his work throughout his whole career to date?
Computer network, Real-time computing, Wireless sensor network, Distributed computing and Network packet are his primary areas of study.
The study incorporates disciplines such as Wireless ad hoc network and Wireless network in addition to Computer network.
Miguel A. Labrador interconnects Embedded system, Simulation, Mobile device, Bandwidth and Global Positioning System in the investigation of issues within Real-time computing.
His Mobile device study combines topics from a wide range of disciplines, such as Activity recognition, Mobile computing and Human–computer interaction.
His Wireless sensor network research is multidisciplinary, incorporating perspectives in Key distribution in wireless sensor networks, Topology control, Jitter, Efficient energy use and Routing protocol.
His Distributed computing research includes elements of Wireless Routing Protocol and Dynamic Source Routing.
He most often published in these fields:
- Computer network (30.43%)
- Real-time computing (16.91%)
- Wireless sensor network (15.94%)
What were the highlights of his more recent work (between 2013-2021)?
- Artificial intelligence (7.25%)
- Computer vision (4.35%)
- Ubiquitous computing (4.35%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Artificial intelligence, Computer vision, Ubiquitous computing, Accelerometer and Mobile device.
Miguel A. Labrador usually deals with Computer vision and limits it to topics linked to Gait and Wearable computer.
Miguel A. Labrador interconnects Computer security and Activity recognition in the investigation of issues within Ubiquitous computing.
His Activity recognition course of study focuses on Markov process and Distributed computing.
The Mobile device study combines topics in areas such as Classifier, Touchscreen, Human–computer interaction, Categorization and Distortion.
His work in Human–computer interaction tackles topics such as Visualization which are related to areas like Data collection.
Between 2013 and 2021, his most popular works were:
- Survey on Fall Detection and Fall Prevention Using Wearable and External Sensors (181 citations)
- Privacy, quality of information, and energy consumption in Participatory Sensing systems (48 citations)
- Features and usability assessment of a patient-centered mobile application (HeartMapp) for self-management of heart failure (31 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- The Internet
- Operating system
Miguel A. Labrador focuses on Ubiquitous computing, Computer security, Artificial intelligence, Wearable computer and Gait.
Many of his studies on Ubiquitous computing involve topics that are commonly interrelated, such as Activity recognition.
Miguel A. Labrador works mostly in the field of Activity recognition, limiting it down to concerns involving Hidden Markov model and, occasionally, Distributed computing.
Miguel A. Labrador has researched Artificial intelligence in several fields, including Computer vision and Accelerometer.
His studies deal with areas such as Range of motion and Physical medicine and rehabilitation, Balance as well as Wearable computer.
His study looks at the relationship between Data collection and topics such as Data science, which overlap with Mobile device.
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