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Item does not contain fulltext, BACKGROUND: Kleine Levin Syndrome (KLS) is a rare disease with periodic hypersomnia as its main feature. Hyperphagia and hypersexuality are also described as classical symptoms, although quite recently it has become clear that the full triad is absent in the majority of patients. CASE DESCRIPTION: A 14-year-old boy developed KLS after a period of flu-like symptoms. Over the course of three years he suffered from seven one-week episodes of extreme hypersomnia (sleeping 18 hours a day), depersonalisation, apathy, anxiety, paranoia, confusion, hallucinations and uninhibited sexual behaviour. He ate little. Ancillary investigations did not reveal any abnormalities. In between these episodes he had no symptoms. CONCLUSION: From this case description and a summary of the symptoms of twelve other patients with KLS, it appears that neuropsychiatric symptoms are much more prominent than hyperphagia and hypersexuality. It is important that the typical KLS phenotype be reappraised, so that the condition can be recognised early and patients managed appropriately.

Item does not contain fulltext, BACKGROUND: Kleine Levin Syndrome (KLS) is a rare disease with periodic hypersomnia as its main feature. Hyperphagia and hypersexuality are also described as classical symptoms, although quite recently it has become clear that the full triad is absent in the majority of patients. CASE DESCRIPTION: A 14-year-old boy developed KLS after a period of flu-like symptoms. Over the course of three years he suffered from seven one-week episodes of extreme hypersomnia (sleeping 18 hours a day), depersonalisation, apathy, anxiety, paranoia, confusion, hallucinations and uninhibited sexual behaviour. He ate little. Ancillary investigations did not reveal any abnormalities. In between these episodes he had no symptoms. CONCLUSION: From this case description and a summary of the symptoms of twelve other patients with KLS, it appears that neuropsychiatric symptoms are much more prominent than hyperphagia and hypersexuality. It is important that the typical KLS phenotype be reappraised, so that the condition can be recognised early and patients managed appropriately.

Item does not contain fulltext, BACKGROUND: Kleine Levin Syndrome (KLS) is a rare disease with periodic hypersomnia as its main feature. Hyperphagia and hypersexuality are also described as classical symptoms, although quite recently it has become clear that the full triad is absent in the majority of patients. CASE DESCRIPTION: A 14-year-old boy developed KLS after a period of flu-like symptoms. Over the course of three years he suffered from seven one-week episodes of extreme hypersomnia (sleeping 18 hours a day), depersonalisation, apathy, anxiety, paranoia, confusion, hallucinations and uninhibited sexual behaviour. He ate little. Ancillary investigations did not reveal any abnormalities. In between these episodes he had no symptoms. CONCLUSION: From this case description and a summary of the symptoms of twelve other patients with KLS, it appears that neuropsychiatric symptoms are much more prominent than hyperphagia and hypersexuality. It is important that the typical KLS phenotype be reappraised, so that the condition can be recognised early and patients managed appropriately.

For virtual characters to behave and communicate in a human-like manner, they should not only be able to communicate verbally, but also show and communicate with non-verbal emotions or actions like laughter. Getting a virtual character to laugh in a natural-looking way is a challenging task, because it does not only involve smiling but also typical motions of the rest of the body. This becomes even more challenging if the character is simulated in real-time and is not acting autonomously but is reacting directly to input signals like sound or a video feed. Previous approaches that work in real-time have focused on detecting laughter from sound and/or videos and converting the input signals to features of laughter in the face, but none of these include full body motions, which are equally important to a natural-looking laughter simulation. Using prerecorded or live sound of laughter as input, we directly drive synthesized breathing and facial animation and introduce laughing energy to select predefined full body animations that match in intensity to the input laughter from the sound. Using our method, it is possible to simulate natural-looking laughter on virtual characters, directly responding to input signals like sound, in applications like games or any other real-time application that involves virtual characters, contributing to more human-like behavior and a more lively interaction.

For virtual characters to behave and communicate in a human-like manner, they should not only be able to communicate verbally, but also show and communicate with non-verbal emotions or actions like laughter. Getting a virtual character to laugh in a natural-looking way is a challenging task, because it does not only involve smiling but also typical motions of the rest of the body. This becomes even more challenging if the character is simulated in real-time and is not acting autonomously but is reacting directly to input signals like sound or a video feed. Previous approaches that work in real-time have focused on detecting laughter from sound and/or videos and converting the input signals to features of laughter in the face, but none of these include full body motions, which are equally important to a natural-looking laughter simulation. Using prerecorded or live sound of laughter as input, we directly drive synthesized breathing and facial animation and introduce laughing energy to select predefined full body animations that match in intensity to the input laughter from the sound. Using our method, it is possible to simulate natural-looking laughter on virtual characters, directly responding to input signals like sound, in applications like games or any other real-time application that involves virtual characters, contributing to more human-like behavior and a more lively interaction.

Document uit de collectie Chemische Procestechnologie, DelftChemTech, Applied Sciences

Document uit de collectie Chemische Procestechnologie, DelftChemTech, Applied Sciences