Results 111 to 120 of about 8,106,141 (300)
Multi-sensory environment analysis and human activity recognition via wearable technologies
S.2-11The sensing of human activities and user surrounding environments is an essential topic in computer science. Application domains include the Ambient Assisted Living (AAL), healthcare, sports gear and military use cases.
Haescher, Marian
core +1 more source
ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo +5 more
wiley +1 more source
Automated Annotation of Sensor data for Activity Recognition using Deep Learning
Within this work-in-progress, we aim to automate the annotation of Sensor data for generating training data for Activity Recognition (AR) of multiple persons. Usually, the activities are executed and recorded from test persons under the supervision of an
Ringsleben, Frederic +3 more
core +1 more source
Optimizing Trajectories Clustering for Activity Recognition [PDF]
International audienceThis work aims at recognizing activities from large video datasets, using the object trajectories as the activity descriptors. We make usage of a compact structure based on 6 features to represent trajectories. This structure allows
Bremond, François +4 more
core +1 more source
ABSTRACT Introduction This final analysis of a multicenter, prospective postmarketing surveillance study evaluated the safety of daprodustat in patients with chronic kidney disease anemia in routine clinical practice in Japan. Methods Patients who initiated daprodustat between September 2020 and July 2022 were registered.
Tadao Akizawa +7 more
wiley +1 more source
A Method to Human Activity Recognition Using Acceleration Databy Machine Learning [PDF]
In this paper, we proposed a method to identify human behavior using a 3-axis acceleration sensor of a smartphone. To realize context-aware services such as efficient energy-saving appliance controland elderly monitoring, high-accuracy in-home living ...
白井, 治彦 +9 more
core
ABSTRACT Introduction Peritoneal dialysis (PD) is an established home‐based kidney replacement therapy (KRT), but its uptake remains low in Japan. We evaluated whether individualized education in a dedicated outpatient clinic was associated with the initiation of PD.
Yasuko Ito +7 more
wiley +1 more source
ShoeTect2.0: Real-Time Activity Recognition Using MobileNet CNN with Multisensory Smart Footwear
260268In this paper, we introduce a proof-of-concept multi-sensory footwear prototype with artificial intelligence to facilitate human activity recognition.
Matthies, Denys +3 more
core +1 more source
ABSTRACT Introduction Hyperlipidemia is a major risk factor for atherosclerotic cardiovascular disease (ASCVD). Although statins are the cornerstone of lipid‐lowering therapy, their use may be limited in some patients by adverse effects. This study evaluated the possible impact of non‐drug treatment using double‐filtration plasmapheresis (DFPP) on CD14+
Yun Cheng +3 more
wiley +1 more source
Location-Based Activity Recognition [PDF]
Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract and label a person's activities and significant places from traces of GPS data. In contrast to existing techniques, our approach simultaneously detects and classifies the significant locations of a person and takes the ...
openaire +1 more source

