Results 101 to 110 of about 3,732 (210)

MP-GestLSTM: real time gesture detection using MediaPipe and LSTM

Systems Science & Control Engineering
Sign 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

Risk Assessment of Musculoskeletal Disorders Using Artificial Intelligence [PDF]

E3S Web of Conferences
Agricultural ergonomics employs methods such as Rapid Upper Limb Assessment (RULA) and Rapid Entire Body Assessment (REBA) to assess postural risks. However, these methods may be inaccurate and time-consuming.
Varas Michelle, Chang Lidia, Garcia Juan-Carlos, Moreira Eugenia   +3 more
doaj   +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

Quantifying Similarities Between MediaPipe and a Known Standard to Address Issues in Tracking 2D Upper Limb Trajectories: Proof of Concept Study

JMIR Formative Research
BackgroundMarkerless 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, Matthew W Scott, Sarah N Kraeutner   +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, Tang, Jiuqiang, Nash, Hadon, McClanahan, Chris, Uboweja, Esha, Hays, Michael, Zhang, Fan, Chang, Chuo-Ling, Yong, Ming Guang, Lee, Juhyun, Chang, Wan-Teh, Hua, Wei, Georg, Manfred, Grundmann, Matthias   +13 more
openaire   +2 more sources

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., Gambi E., Nocera A., Raimondi M., Senigagliesi L.   +4 more
core   +1 more source

A Deep Dive Into MediaPipe Pose for Postural Assessment: A Comparative Investigation

IEEE Access
Markerless 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, Gianluca Amprimo, Serena Cerfoglio, Luca Vismara, Veronica Cimolin   +4 more
doaj   +1 more source

GRLib: An Open-Source Hand Gesture Detection and Recognition Python Library

, 2023
Hand gesture recognition systems provide a natural way for humans to interact with computer systems. Although various algorithms have been designed for this task, a host of external conditions, such as poor lighting or distance from the camera, make it ...
Eisma, Yke Bauke, Vlasenko, Mikhail, Warchocki, Jan   +2 more
core  

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, Lanza, Bernardo, Nuzzi, Cristina, Pasinetti, Simone   +3 more
core   +1 more source

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, Suarna, Nana, Wirdiyan, Farhan Azfa   +2 more
core   +1 more source