Results 51 to 60 of about 15,643,473 (301)
Human Activity Recognition through Weighted Finite Automata
This work addresses the problem of human activity identification in an ubiquitous environment, where data is collected from a wide variety of sources.
Sergio Salomón, Cristina Tîrnăucă
doaj +1 more source
The State-of-the-Art Sensing Techniques in Human Activity Recognition: A Survey
Human activity recognition (HAR) has become an intensive research topic in the past decade because of the pervasive user scenarios and the overwhelming development of advanced algorithms and novel sensing approaches.
Sizhen Bian +3 more
doaj +1 more source
ABSTRACT Background Loneliness is associated with adverse physical and mental health outcomes and remains understudied in children and adolescents undergoing cancer therapy. Pediatric oncology patients may be at increased risk due to medical isolation and disruption of social networks.
Charlotte N. Stahlfeld +5 more
wiley +1 more source
Human Physical Activity Recognition Using Smartphone Sensors
Because the number of elderly people is predicted to increase quickly in the upcoming years, “aging in place„ (which refers to living at home regardless of age and other factors) is becoming an important topic in the area of ambient assisted ...
Robert-Andrei Voicu +3 more
doaj +1 more source
Human Activity Recognition in the Presence of Occlusion
The presence of occlusion in human activity recognition (HAR) tasks hinders the performance of recognition algorithms, as it is responsible for the loss of crucial motion data. Although it is intuitive that it may occur in almost any real-life environment, it is often underestimated in most research works, which tend to rely on datasets that have been ...
Ioannis Vernikos +3 more
openaire +4 more sources
ABSTRACT Rates of cancer among adolescents and young adults (AYA), age 15–39 years, are increasing. Consequently, radiation oncologists are treating more AYAs who have diagnoses spanning both pediatric and adult practices. Compared to pediatric and older adult patients, AYAs face a unique set of challenges.
Hesham Elhalawani +7 more
wiley +1 more source
ABSTRACT Background Allogeneic hematopoietic stem cell transplantation (alloHSCT) is an essential therapy for several malignant and nonmalignant diseases, but relapse and graft loss remain the principal threats to its success. Routine monitoring of chimerism and minimal residual disease (MRD) enables early detection of imminent recurrence and guides ...
Carmen Junk +10 more
wiley +1 more source
Machine Learning Prediction of Human Activity Recognition
Wearable computation is getting integrated into our daily life. It has got wide acceptance due to their small sizes, and reasonable computation power.
Getinet Yilam, Dileep Kumar
doaj +1 more source
Pediatric Idiopathic Multicentric Castleman Disease Is Often Severe But Responsive to Siltuximab
ABSTRACT Background Idiopathic multicentric Castleman disease (iMCD) is a potentially fatal immunologic disorder marked by widespread lymphadenopathy and inflammation. Siltuximab, an interleukin‐6 (IL‐6) inhibitor, is the only FDA‐approved treatment for adult patients with iMCD.
Bridget Austin +17 more
wiley +1 more source
Using activity recognition for the tracking of assembly processes: Challenges and requirements
S.12-21Activity recognition helps to improve the quality of assistance applications by enabling adaptive and purposeful user support. However, industrial applications require a far more robust recognition in order to ensure process reliable operations ...
Urban, Bodo +2 more
core +1 more source

