Angelo Maria Sabatini

What is he best known for?

The fields of study he is best known for:

• Artificial intelligence
• Statistics
• Robotics

Angelo Maria Sabatini mostly deals with Artificial intelligence, Inertial measurement unit, Kalman filter, Gyroscope and Control theory. Angelo Maria Sabatini has researched Artificial intelligence in several fields, including Wrist, Wearable computer, Raw data and Computer vision. He has included themes like Gait and Gait analysis in his Inertial measurement unit study.

His research investigates the link between Gait analysis and topics such as Preferred walking speed that cross with problems in Effect of gait parameters on energetic cost and STRIDE. He works mostly in the field of Kalman filter, limiting it down to topics relating to Sensor fusion and, in certain cases, Orientation, Attitude and heading reference system and Filter design, as a part of the same area of interest. His research integrates issues of Machine learning and Motion analysis in his study of Hidden Markov model.

His most cited work include:

• Quaternion-based extended Kalman filter for determining orientation by inertial and magnetic sensing (613 citations)
• Machine Learning Methods for Classifying Human Physical Activity from On-Body Accelerometers (553 citations)
• Assessment of walking features from foot inertial sensing (510 citations)

What are the main themes of his work throughout his whole career to date?

Angelo Maria Sabatini spends much of his time researching Artificial intelligence, Computer vision, Inertial measurement unit, Simulation and Gait. The Artificial intelligence study combines topics in areas such as Machine learning, Wearable computer and Pattern recognition. His Computer vision research is multidisciplinary, relying on both Gyroscope and Sagittal plane.

His research investigates the connection between Inertial measurement unit and topics such as Kalman filter that intersect with issues in Orientation, Sensor fusion and Filter. His work in Simulation addresses subjects such as Robot, which are connected to disciplines such as Control engineering. His work deals with themes such as Preferred walking speed and STRIDE, which intersect with Gait.

He most often published in these fields:

• Artificial intelligence (39.29%)
• Computer vision (25.00%)
• Inertial measurement unit (18.57%)

What were the highlights of his more recent work (between 2017-2021)?

• Artificial intelligence (39.29%)
• Physical medicine and rehabilitation (13.57%)
• Gait (15.00%)

In recent papers he was focusing on the following fields of study:

Angelo Maria Sabatini spends much of his time researching Artificial intelligence, Physical medicine and rehabilitation, Gait, Sensor fusion and Inertial measurement unit. His Artificial intelligence research incorporates elements of Motor control, Computer vision and Pattern recognition. His Computer vision study combines topics in areas such as Workspace and Estimator.

His Gait study combines topics from a wide range of disciplines, such as BitTorrent tracker, Motion analysis and Haptic technology. The concepts of his Sensor fusion study are interwoven with issues in Filter, Data mining, Rotation, Orientation and Algorithm. Angelo Maria Sabatini has included themes like Balance and Support vector machine in his Inertial measurement unit study.

Between 2017 and 2021, his most popular works were:

• Accuracy of the Orientation Estimate Obtained Using Four Sensor Fusion Filters Applied to Recordings of Magneto-Inertial Sensors Moving at Three Rotation Rates (9 citations)
• I-Support: A robotic platform of an assistive bathing robot for the elderly population (7 citations)
• Combining Evolutionary and Adaptive Control Strategies for Quadruped Robotic Locomotion. (5 citations)

In his most recent research, the most cited papers focused on:

• Artificial intelligence
• Statistics
• Robotics

His main research concerns Inertial measurement unit, Robot, Haptic technology, Pachygrapsus marmoratus and Terrestrial locomotion. His study in Inertial measurement unit is interdisciplinary in nature, drawing from both Activities of daily living and Medical emergency. His Robot research includes themes of Task and Human–computer interaction.

His Haptic technology study incorporates themes from Gait, Physical medicine and rehabilitation and Time perception. Angelo Maria Sabatini performs integrative study on Physical medicine and rehabilitation and Waist. His Pachygrapsus marmoratus research spans across into areas like Slip, Inverted pendulum, Marine engineering, STRIDE and Horizontal plane.