Iris patterns are generally considered unique to individuals and remain stable throughout a person's life, making them an invaluable tool for authentication and identification purposes. Yet, their use in infants remains under-researched, primarily due to the inadequacy of current Near-Infrared (NIR) scanners, which are unsuitable for infants owing to their size and intrusive nature. Addressing this gap, our study introduces the first dedicated infant iris scanner, a hardware and software advancement.
View Article and Find Full Text PDFThis paper presents wearable sensors for detecting differences in chewing strength while eating foods with different hardness (carrot as a hard, apple as moderate and banana as soft food). Four wearable sensor systems were evaluated. They were: (1) a gas pressure sensor measuring changes in ear pressure proportional to ear canal deformation during chewing, (2) a flexible, curved bend sensor attached to right temple of eyeglass measuring the contraction of the temporalis muscle, (3) a piezoelectric strain sensor placed on the temporalis muscle, and (4) an electromyography sensor with electrodes placed on the temporalis muscle.
View Article and Find Full Text PDFAnnu Int Conf IEEE Eng Med Biol Soc
July 2020
With technological advancement, wearable egocentric camera systems have extensively been studied to develop food intake monitoring devices for the assessment of eating behavior. This paper provides a detailed description of the implementation of CNN based image classifier in the Cortex-M7 microcontroller. The proposed network classifies the captured images by the wearable egocentric camera as food and no food images in real-time.
View Article and Find Full Text PDFThis paper presents the development and validation of a novel multi-sensory wearable system (Personal Automatic Cigarette Tracker v2 or PACT2.0) for monitoring of cigarette smoking in free-living conditions. The contributions of the PACT2.
View Article and Find Full Text PDF