Do Drivers Prefer Female Voice for Guidance? An Interaction Design About Information Type and Speaker Gender for Autonomous Driving Car

2019 ◽  
pp. 208-224
Author(s):  
Wang Ji ◽  
Ruijie Liu ◽  
SeungHee Lee
Keyword(s):  
Interaction Design ◽  
Autonomous Driving ◽  
Female Voice ◽  
Information Type

Suggestion on the Practical Human Robot Interaction Design for the Autonomous Driving Disinfection Robot

2021 ◽  
Author(s):  
Bongsang Kim ◽  
Nahyun Kim ◽  
Insung Kang ◽  
Myeonghun Sim ◽  
Jungeun Seok ◽  
...  
Keyword(s):  
Interaction Design ◽  
Autonomous Driving ◽  
Human Robot Interaction ◽  
Robot Interaction

Hormone Replacement Therapy and Voice

2019 ◽  
Vol 4 (4) ◽  
pp. 607-614
Author(s):  
Jean Abitbol
Keyword(s):  
Replacement Therapy ◽  
Symptom Severity ◽  
Low Dose ◽  
Hormone Replacement ◽  
Clinical Signs ◽  
Female Voice ◽  
Fat Cells ◽  
High Pitch ◽  
Endocrine Effects ◽  
The Voice

The purpose of this article is to update the management of the treatment of the female voice at perimenopause and menopause. Voice and hormones—these are 2 words that clash, meet, and harmonize. If we are to solve this inquiry, we shall inevitably have to understand the hormones, their impact, and the scars of time. The endocrine effects on laryngeal structures are numerous: The actions of estrogens and progesterone produce modification of glandular secretions. Low dose of androgens are secreted principally by the adrenal cortex, but they are also secreted by the ovaries. Their effect may increase the low pitch and decease the high pitch of the voice at menopause due to important diminution of estrogens and the privation of progesterone. The menopausal voice syndrome presents clinical signs, which we will describe. I consider menopausal patients to fit into 2 broad types: the “Modigliani” types, rather thin and slender with little adipose tissue, and the “Rubens” types, with a rounded figure with more fat cells. Androgen derivatives are transformed to estrogens in fat cells. Hormonal replacement therapy should be carefully considered in the context of premenopausal symptom severity as alternative medicine. Hippocrates: “Your diet is your first medicine.”

A Lightweight and Multi-OS Compatible Middleware Designed for Autonomous Driving

CICTP 2020 ◽  
2020 ◽  
Author(s):  
Kun Jiang ◽  
Yunlong Wang ◽  
Shengjie Kou ◽  
Diange Yang
Keyword(s):  
Autonomous Driving

Trend of an Autonomous Driving Control Vehicle

2013 ◽  
Vol 133 (9) ◽  
pp. 595-598
Author(s):  
Kenji SUZUKI ◽  
Hisaaki ISHIDA ◽  
Hirofumi INOSE ◽  
Rui KOBAYASHI
Keyword(s):  
Autonomous Driving

Imaging through Scattering Media with a Learning Based Prior

2020 ◽  
Vol 2020 (14) ◽  
pp. 306-1-306-6
Author(s):  
Florian Schiffers ◽  
Lionel Fiske ◽  
Pablo Ruiz ◽  
Aggelos K. Katsaggelos ◽  
Oliver Cossairt
Keyword(s):  
Optimization Problem ◽  
Autonomous Driving ◽  
Scattering Media ◽  
Photon Scattering ◽  
Point Spread ◽  
Spread Function ◽  
Radiative Transport Equation ◽  
Spatio Temporal ◽  
Transient Imaging

Imaging through scattering media finds applications in diverse fields from biomedicine to autonomous driving. However, interpreting the resulting images is difficult due to blur caused by the scattering of photons within the medium. Transient information, captured with fast temporal sensors, can be used to significantly improve the quality of images acquired in scattering conditions. Photon scattering, within a highly scattering media, is well modeled by the diffusion approximation of the Radiative Transport Equation (RTE). Its solution is easily derived which can be interpreted as a Spatio-Temporal Point Spread Function (STPSF). In this paper, we first discuss the properties of the ST-PSF and subsequently use this knowledge to simulate transient imaging through highly scattering media. We then propose a framework to invert the forward model, which assumes Poisson noise, to recover a noise-free, unblurred image by solving an optimization problem.

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