Results 11 to 20 of about 2,615 (266)
Radio-Assisted Human Detection [PDF]
In this paper, we propose a radio-assisted human detection framework by incorporating radio information into the state-of-the-art detection methods, including anchor-based onestage detectors and two-stage detectors. We extract the radio localization and identifer information from the radio signals to assist the human detection, due to which the problem
Chengrun Qiu +5 more
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Human-assisted motion annotation [PDF]
Obtaining ground-truth motion for arbitrary, real-world video sequences is a challenging but important task for both algorithm evaluation and model design. Existing ground-truth databases are either synthetic, such as the Yosemite sequence, or limited to indoor, experimental setups, such as the database developed by Baker et al (2007).
Ce Liu 0001 +3 more
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Regression under Human Assistance
Decisions are increasingly taken by both humans and machine learning models. However, machine learning models are currently trained for full automation—they are not aware that some of the decisions may still be taken by humans. In this paper, we take a first step towards the development of machine learning models that are optimized to operate under ...
De, Abir +4 more
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Classification Under Human Assistance
Most supervised learning models are trained for full automation. However, their predictions are sometimes worse than those by human experts on some specific instances. Motivated by this empirical observation, our goal is to design classifiers that are optimized to operate under different automation levels.
De, Abir +3 more
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Parthenogenesis and Human Assisted Reproduction [PDF]
Parthenogenetic activation of human oocytes obtained from infertility treatments has gained new interest in recent years as an alternative approach to create embryos with no reproductive purpose for research in areas such as assisted reproduction technologies itself, somatic cell, and nuclear transfer experiments and for derivation of clinical grade ...
Adriana Bos-Mikich +4 more
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Modeling the Human Knee for Assistive Technologies [PDF]
In this paper, we use motion capture technology together with an EMG-driven musculoskeletal model of the knee joint to predict muscle behavior during human dynamic movements. We propose a muscle model based on infinitely stiff tendons and show this allows speeding up 250 times the computation of muscle force and the resulting joint moment calculation ...
Massimo Sartori +3 more
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Digital assistants and human values
ABSTRACT Are digital assistants sensitive to the values of their users? In this paper, we report the results of ten interviews with users of Apple's Siri, Amazon's Alexa, and Google Assistant about how they use these digital assistants.
Kathryn E. Golden +1 more
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Human-Centred Design for Silver Assistants [PDF]
To alleviate the rapidly increasing need of the healthcare workforce to serve the enormous ageing population, leveraging intelligent and autonomous caring agents is one promising way. Working towards the design and development of dedicated personal silver assistants for older adults, we follow the human-centred design approach.
Zhiwei Zeng +5 more
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A robot has been designed to assist humans in reaching their desired destination. The majority of people today are freshers and unfamiliar with new places. With very little to no awareness of the specific locations, people waste a lot of time navigating through the different available paths.
null L.Suriya Kala, null S.Nirmal
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Exotendons for assistance of human locomotion [PDF]
Powered robotic exoskeletons for assistance of human locomotion are currently under development for military and medical applications. The energy requirements for such devices are excessive, and this has become a major obstacle for practical applications. Legged locomotion in many animals, however, is very energy efficient.
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