Results 61 to 70 of about 2,895,343 (277)

Human Posture Estimation: A Systematic Review on Force-Based Methods—Analyzing the Differences in Required Expertise and Result Benefits for Their Utilization

Sensors, 2023
Force-based human posture estimation (FPE) provides a valuable alternative when camera-based human motion capturing is impractical. It offers new opportunities for sensor integration in smart products for patient monitoring, ergonomic optimization and ...
Sebastian Helmstetter, Sven Matthiesen
doaj   +1 more source

Stratified Transfer Learning for Cross-domain Activity Recognition

, 2017
In activity recognition, it is often expensive and time-consuming to acquire sufficient activity labels. To solve this problem, transfer learning leverages the labeled samples from the source domain to annotate the target domain which has few or none ...
Chen, Yiqiang, Hu, Lisha, Peng, Xiaohui, Wang, Jindong, Yu, Philip S.   +4 more
core   +1 more source

An activity description language for activity recognition [PDF]

2017 International Conference on Internet of Things, Embedded Systems and Communications (IINTEC), 2017
Activity recognition aims at recognizing and understanding the movements, actions, and objectives of mobile objects. These objects can be humans, animals, or simple artefacts. Many important and critical applications such as surveillance or health care require some form of (human) activity recognition.
Sarray, Ines, Ressouche, Annie, Moisan, Sabine, Rigault, Jean-Paul, Gaffé, Daniel   +4 more
openaire   +2 more sources

Exploring Preferences for a Digital Single‐Session Intervention for Adolescent Siblings of Youth With Cancer

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Adolescent siblings of children with cancer are at elevated risk for psychosocial problems. Unfortunately, various barriers such as limited family time and resources, conflicting schedules, and psychosocial staffing constraints at cancer centers hinder sibling access to support.
Christina M. Amaro, Sarah Silver, Prishi Patel, Meredith K. Reffner Collins, Kimberly S. Canter, Stephanie Fooks‐Parker, Michael Amylon, Shawna V. Hudson, Jessica L. Schleider, Melissa A. Alderfer, Katie A. Devine   +10 more
wiley   +1 more source

Transfer Learning-Driven Cattle Instance Segmentation Using Deep Learning Models

Agriculture
Among the emerging applications of artificial intelligence is animal instance segmentation, which has provided a practical means for various researchers to accomplish some aim or execute some order.
Rotimi-Williams Bello, Pius A. Owolawi, Etienne A. van Wyk, Chunling Tu   +3 more
doaj   +1 more source

DNA duplex recognition activates Exo1 nuclease activity [PDF]

Journal of Biological Chemistry, 2019
Exonuclease 1 (Exo1) is an evolutionarily conserved eukaryotic nuclease that plays a multifaceted role in maintaining genome stability. The biochemical attributes of Exo1 have been extensively characterized via conventional assays. However, the key step governing its activation remains elusive.
Yuxi Li, Jiangchuan Shen, Hengyao Niu
openaire   +2 more sources

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen, Calogero Virgone, Antje Redlich, Michael Abele, Ricardo Lopez‐Almaraz, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Maja Mazic Cesen, Andrea Ferrari, Malgorzata A. Krawczyk, Yves Reguerre, Dominik T. Schneider, Ines B. Brecht, Charlotte Rigaud, Bilgehan Yalcin, Rainer Claus, Christian Vokuhl, Constantin Lapa, Jörg Fuchs, Segolene Hescot, Thomas Walter, Julien Hadoux, Daniel Orbach   +23 more
wiley   +1 more source

Creating Alert Messages Based on Wild Animal Activity Detection Using Hybrid Deep Neural Networks

IEEE Access, 2023
The issue of animal attacks is increasingly concerning for rural populations and forestry workers. To track the movement of wild animals, surveillance cameras and drones are often employed.
B. Natarajan, R. Elakkiya, R. Bhuvaneswari, Kashif Saleem, Dharminder Chaudhary, Syed Husain Samsudeen   +5 more
doaj   +1 more source

Efficacy and Tolerability of Topotecan/Cyclophosphamide/Dinutuximab in Relapsed and Refractory High‐Risk Neuroblastoma: A Multi‐Institutional Retrospective Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Chemoimmunotherapy with irinotecan, temozolomide, and dinutuximab (I/T/DIN) has emerged as first‐line therapy for relapsed/refractory (r/r) high‐risk neuroblastoma (HRNB) in North America. Topotecan and cyclophosphamide (T/C) are often used in combination with dinutuximab in the setting of lack of response, progression, or incomplete ...
Benjamin J. Lerman, Madeleine King, Rajen Mody, Sara‐Jane Onyeama, Araz Marachelian, Thomas Cash, Sara M. Federico, Meaghan Granger, Ami V. Desai, Suzanne Shusterman, Jennifer H. Foster, Elizabeth Sokol, Chelsee Greer, Keri Streby, Holly J. Meany, Kieuhoa T. Vo, Margaret E. Macy, Rochelle Bagatell   +17 more
wiley   +1 more source

Human Activity Recognition

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
This research focuses on Human Activity Recognition (HAR) using sensor-based data, primarily from gyroscopes and accelerometers, to classify and analyze human movements in real time. With the increasing adoption of wearable devices and smart environments, HAR has gained significant importance in applications such as healthcare, fitness tracking, smart ...
Gabriele Schabacher, Sophie Spallinger
openaire   +2 more sources