Accuracy of 3D body pose and shape estimation of infants from RGB and RGB-D data [PDF]
Tato práce zkoumá schopnosti vnímání hloubky tří RGB-D kamer, konkrétně Intel RealSense D435, D455 a ZED 2i na statické i dynamické objekty s cílem zlepšit neinvazivní diagnostiku psychomotorických postižení, jako je dětská mozková obrna.
Vojtěch Volprecht
core
ML-Based Edge Node for Monitoring Peoples’ Frailty Status [PDF]
The development of contactless methods to assess the degree of personal hygiene in elderly people is crucial for detecting frailty and providing early intervention to prevent complete loss of autonomy, cognitive impairment, and hospitalisation.
Ciattaglia G. +4 more
core +1 more source
Using Cost Simulation and Computer Vision to Inform Probabilistic Cost Estimates [PDF]
, 2022 Cost estimating is a critical task in the construction process. Building cost estimates using historical data from previously performed projects have long been recognized as one of the better methods to generate precise construction bids.
Ding, Shu Jing
core +1 more source
MP-GestLSTM: real time gesture detection using MediaPipe and LSTM
Systems Science & Control EngineeringSign language is a crucial form of communication for individuals with hearing impairments; thus, the development of accurate and efficient sign language recognition systems is of significant importance.
T.S. Varshini, P. Rukmani
doaj +1 more source
Combined MediaPipe and YOLOv5 range of motion assessment system for spinal diseases and frozen shoulder [PDF]
Spinal diseases and frozen shoulder are prevalent health problems in Asian populations. Early assessment and treatment are very important to prevent the disease from getting worse and reduce pain.
Cai, Shaomin +7 more
core +2 more sources
DEEP LEARNING FOR GESTURE RECOGNITION IN GYM TRAINING PERFORMED BY A VISION-BASED AUGMENTED REALITY SMART MIRROR [PDF]
, 2022 This paper illustrates the development and the validation of a smart mirror for sport training. The application is based the skeletonization algorithm MediaPipe and runs on an embedded device Nvidia Jetson Nano equipped with two fisheye cameras.
Lancini, Matteo +3 more
core +1 more source
JMIR Formative ResearchBackgroundMarkerless motion tracking methods have promise for use in a range of domains, including clinical settings where traditional marker-based systems for human pose estimation are not feasible. Artificial intelligence (AI)–based systems can offer a
Vaidehi Wagh +2 more
doaj +1 more source
MediaPipe: A Framework for Building Perception Pipelines
, 2019 Building applications that perceive the world around them is challenging. A developer needs to (a) select and develop corresponding machine learning algorithms and models, (b) build a series of prototypes and demos, (c) balance resource consumption against the quality of the solutions, and finally (d) identify and mitigate problematic cases.
Lugaresi, Camillo +13 more
openaire +2 more sources
KLASIFIKASI ABJAD DALAM BAHASA ISYARAT MENGGUNAKAN ALGORITMA RANDOM FOREST [PDF]
Pengenalan bahasa isyarat merupakan tantangan signifikan dalam pengembangan teknologi informasi, terutama dalam menciptakan komunikasi inklusif bagi penyandang disabilitas pendengaran.
Ali, Irfan +2 more
core +1 more source
A Deep Dive Into MediaPipe Pose for Postural Assessment: A Comparative Investigation
IEEE AccessMarkerless pose estimation is an accessible alternative to marker-based methods. Although Google MediaPipe Pose is a promising RGB-only solution, a comprehensive performance investigation of its 2D and 3D models for postural assessment is lacking.
Claudia Ferraris +4 more
doaj +1 more source