Philips Consumer Lifestyle

About: Philips Consumer Lifestyle is a based out in . It is known for research contribution in the topics: Cathode ray tube & Electron gun. The organization has 232 authors who have published 254 publications receiving 3312 citations. The organization is also known as: Philips Consumer Electronics & Philips Domestic Appliances and Personal Care.

A DSP-based hearing instrument IC

Abstract: This paper presents a digital signal processing IC, including AD/DA converters, for one-chip hearing instruments. An on-chip infrared remote control receiver is used to load a program Into the digital signal processor (DSP). The complete IC consumes 2 mW from a single cell battery and operates with supply voltages down to 0.9 V. The oversampling A/D and D/A converters show a dynamic range of 77 and 93 dBA, respectively. Only a few external capacitors are needed. The chip area is 35 mm/sup 2/ in a low-threshold 0.8-/spl mu/m CMOS process.

Effects of Artificial Dawn and Morning Blue Light on Daytime Cognitive Performance, Well-being, Cortisol and Melatonin Levels

Abstract: Light exposure elicits numerous effects on human physiology and behavior, such as better cognitive performance and mood. Here we investigated the role of morning light exposure as a countermeasure for impaired cognitive performance and mood under sleep restriction (SR). Seventeen participants took part of a 48h laboratory protocol, during which three different light settings (separated by 2 wks) were administered each morning after two 6-h sleep restriction nights: a blue monochromatic LED (light-emitting diode) light condition (BL; 100 lux at 470 nm for 20 min) starting 2 h after scheduled wake-up time, a dawn-simulating light (DsL) starting 30 min before and ending 20 min after scheduled wake-up time (polychromatic light gradually increasing from 0 to 250 lux), and a dim light (DL) condition for 2 h beginning upon scheduled wake time (58 lux). Cognitive tasks were performed every 2 h during scheduled wakefulness, and questionnaires were administered hourly to assess subjective sleepiness, mood, and wellbeing. Salivary melatonin and cortisol were collected throughout scheduled wakefulness in regular intervals, and the effects on melatonin were measured after only one light pulse. Following the first SR, analysis of the time course of cognitive performance during scheduled wakefulness indicated a decrease following DL, whereas it remained stable following BL and significantly improved after DsL. Cognitive performance levels during the second day after SR were not significantly affected by the different light conditions. However, after both SR nights, mood and well-being were significantly enhanced after exposure to morning DsL compared with DL and BL. Melatonin onset occurred earlier after morning BL exposure, than after morning DsL and DL, whereas salivary cortisol levels were higher at wake-up time after DsL compared with BL and DL. Our data indicate that exposure to an artificial morning dawn simulation light improves subjective well-being, mood, and cognitive performance, as compared with DL and BL, with minimal impact on circadian phase. Thus, DsL may provide an effective strategy for enhancing cognitive performance, wellbeing, and mood under mild sleep restriction.

New technique for reducing cogging torque in a class of brushless DC motors

Abstract: It is shown that the cogging torque in permanent magnet and brushless DC motors, where the number of magnet poles is close to the number of armature slots, can be reduced considerably by adjusting the width of the poles or the width of the slots. A design method to achieve this goal is presented. The influence of the slot opening on the cogging torque is thoroughly investigated theoretically and experimentally for a prototype. >

Affective Man-Machine Interface: Unveiling Human Emotions through Biosignals

Abstract: As is known for centuries, humans exhibit an electrical profile. This profile is altered through various psychological and physiological processes, which can be measured through biosignals; e.g., electromyography (EMG) and electrodermal activity (EDA). These biosignals can reveal our emotions and, as such, can serve as an advanced man-machine interface (MMI) for empathic consumer products. However, such a MMI requires the correct classification of biosignals to emotion classes. This chapter starts with an introduction on biosignals for emotion detection. Next, a state-of-the-art review is presented on automatic emotion classification. Moreover, guidelines are presented for affective MMI. Subsequently, a research is presented that explores the use of EDA and three facial EMG signals to determine neutral, positive, negative, and mixed emotions, using recordings of 21 people. A range of techniques is tested, which resulted in a generic framework for automated emotion classification with up to 61.31% correct classification of the four emotion classes, without the need of personal profiles. Among various other directives for future research, the results emphasize the need for parallel processing of multiple biosignals.