scispace - formally typeset
Search or ask a question
Author

Alberto Leardini

Bio: Alberto Leardini is an academic researcher from Academy for Urban School Leadership. The author has contributed to research in topics: Ankle & Medicine. The author has an hindex of 25, co-authored 59 publications receiving 11030 citations.


Papers
More filters
Journal ArticleDOI
TL;DR: The Standardization and Terminology Committee (STC) of the International Society of Biomechanics proposes definitions of JCS for the ankle, hip, and spine, and suggests that adopting these standards will lead to better communication among researchers and clinicians.

2,650 citations

Journal ArticleDOI
TL;DR: This paper deals with methodological problems related to the reconstruction of the position and orientation of the human pelvis and the lower limb bones in space during the execution of locomotion and physical exercises using a stereophotogrammetric system.

1,513 citations

Journal ArticleDOI
TL;DR: For STA to be compensated for effectively, it is here suggested that either its subject-specific pattern is assessed by ad hoc exercises or it is characterized from a large series of measurements on different subject populations.

1,030 citations

Journal ArticleDOI
TL;DR: An effort to systematize the different theoretical and experimental approaches to the problems involved and related nomenclatures is needed to facilitate data and knowledge sharing, and to provide renewed momentum for the advancement of human movement analysis.

892 citations

Journal ArticleDOI
TL;DR: The experimental problems related to the reconstruction of the position and orientation of the lower limb bones in space during the execution of locomotion and physical exercises and inaccuracies associated with the relative movement between markers and underlying bone are analysed.

763 citations


Cited by
More filters
Journal ArticleDOI
TL;DR: The Standardization and Terminology Committee (STC) of the International Society of Biomechanics proposes definitions of JCS for the ankle, hip, and spine, and suggests that adopting these standards will lead to better communication among researchers and clinicians.

2,650 citations

Proceedings Article
01 Jan 1994
TL;DR: The main focus in MUCKE is on cleaning large scale Web image corpora and on proposing image representations which are closer to the human interpretation of images.
Abstract: MUCKE aims to mine a large volume of images, to structure them conceptually and to use this conceptual structuring in order to improve large-scale image retrieval. The last decade witnessed important progress concerning low-level image representations. However, there are a number problems which need to be solved in order to unleash the full potential of image mining in applications. The central problem with low-level representations is the mismatch between them and the human interpretation of image content. This problem can be instantiated, for instance, by the incapability of existing descriptors to capture spatial relationships between the concepts represented or by their incapability to convey an explanation of why two images are similar in a content-based image retrieval framework. We start by assessing existing local descriptors for image classification and by proposing to use co-occurrence matrices to better capture spatial relationships in images. The main focus in MUCKE is on cleaning large scale Web image corpora and on proposing image representations which are closer to the human interpretation of images. Consequently, we introduce methods which tackle these two problems and compare results to state of the art methods. Note: some aspects of this deliverable are withheld at this time as they are pending review. Please contact the authors for a preview.

2,134 citations

Journal ArticleDOI
TL;DR: For STA to be compensated for effectively, it is here suggested that either its subject-specific pattern is assessed by ad hoc exercises or it is characterized from a large series of measurements on different subject populations.

1,030 citations

Journal ArticleDOI
16 Feb 2012-Sensors
TL;DR: The gait analysis methods based on wearable sensors is divided into gait kinematics, gait kinetics, and electromyography, which are expected to play an increasingly important role in clinical applications.
Abstract: Gait analysis using wearable sensors is an inexpensive, convenient, and efficient manner of providing useful information for multiple health-related applications. As a clinical tool applied in the rehabilitation and diagnosis of medical conditions and sport activities, gait analysis using wearable sensors shows great prospects. The current paper reviews available wearable sensors and ambulatory gait analysis methods based on the various wearable sensors. After an introduction of the gait phases, the principles and features of wearable sensors used in gait analysis are provided. The gait analysis methods based on wearable sensors is divided into gait kinematics, gait kinetics, and electromyography. Studies on the current methods are reviewed, and applications in sports, rehabilitation, and clinical diagnosis are summarized separately. With the development of sensor technology and the analysis method, gait analysis using wearable sensors is expected to play an increasingly important role in clinical applications.

926 citations