Results 111 to 120 of about 695,239 (303)
Ensemble Manifold Rank Preserving for Acceleration-Based Human Activity Recognition
, 2016 With the rapid development of mobile devices and pervasive computing technologies, acceleration;based human activity recognition, a difficult yet essential problem in mobile apps, has received intensive attention recently.
Yuan, Yuan +3 more
core +1 more source
Evaluating Performance in Continuous Context Recognition Using Event-Driven Error Characterisation [PDF]
, 2006 Evaluating the performance of a continuous activity recognition system can be a challenging problem. To-date there is no widely accepted standard for dealing with this, and in general methods and measures are adapted from related fields such as speech ...
Lukowicz, Paul +8 more
core +1 more source
Transfer-Learning-Based Human Activity Recognition Using Antenna Array
Remote SensingDue to its low cost and privacy protection, Channel-State-Information (CSI)-based activity detection has gained interest recently. However, to achieve high accuracy, which is challenging in practice, a significant number of training samples are required.
Kun Ye +7 more
doaj +1 more source
Adaptive HAR System to Improve Recognition Accuracy
Mehran University Research Journal of Engineering and Technology, 2018 HAR (Human Activity Recognition) system becomes complex, inefficient and less accurate as we keep on adding new activities into the system; because it follows a specific procedure for activity recognition, from raw data collection to classification.
Muhammad Arshad Awan
doaj +1 more source
Sensors, 2019 Sensor-based human activity recognition can benefit a variety of applications such as health care, fitness, smart homes, rehabilitation training, and so forth.
Yiming Tian +3 more
doaj +1 more source
FEBS Letters, EarlyView.Embryo‐like structures (stembryos) are an innovative tool, but they are hindered by experimental variability and limited developmental potential. DNA methylation is crucial for mammalian development, but its status in stembryo models is poorly characterized.
Sara Canil +4 more
wiley +1 more source
Improving posture classification accuracy for depth sensor-based human activity monitoring in smart environments [PDF]
, 2016 Smart environments and monitoring systems are popular research areas nowadays due to its potential to enhance the quality of life. Applications such as human behaviour analysis and workspace ergonomics monitoring are automated, thereby improving well ...
Yuen, Pong C. +9 more
core +1 more source
Opportunities for activity recognition using ultrasound doppler sensing on unmodified mobile phones
, 2022 Art. 8, 10 S.Nowadays activity recognition on smartphones is ubiquitously applied, for example to monitor personal health. The smartphone's sensors act as a foundation to provide information on movements, the user's location or direction.
Karolus, Jakob +4 more
core +1 more source
Attention-Based CNN-BiGRU-Transformer Model for Human Activity Recognition
Applied SciencesHuman activity recognition (HAR) based on wearable sensors is a key technology in the fields of smart sensing and health monitoring. With the rapid development of deep learning, its powerful feature extraction capabilities have significantly enhanced ...
Mingda Miao +5 more
doaj +1 more source
pH‐mediated activation of the lysosomal arginine sensor SLC38A9
FEBS Letters, EarlyView.Cells monitor nutrient levels via the lysosomal transporter SLC38A9 to activate the mechanistic target of rapamycin complex 1 (mTORC1). This study reveals that SLC38A9 function is regulated by pH. We identified histidine 544 as a critical pH sensor that undergoes conformational changes to control amino acid efflux from lysosomes; therefore, it ...
Xuelang Mu, Ampon Sae Her, Tamir Gonen
wiley +1 more source