Light therapy is increasingly administered and studied as a non-pharmacologic treatment for a variety of healthrelated problems, including treatment of people with dementia. Light therapy comes in a variety of ways, ranging from being exposed to daylight, to being exposed to light emitted by light boxes and ambient bright light. Light therapy is an area in medicine where medical sciences meet the realms of physics, engineering and technology. Therefore, it is paramount that attention is paid in the methodology of studies to the technical aspects in their full breadth. This paper provides an extensive introduction for non-technical researchers on how to describe and adjust their methodology when involved in lighting therapy research. A specific focus in this manuscript is on ambient bright light, as it is an emerging field within the domain of light therapy. The paper deals with how to (i) describe the lighting equipment, (ii) describe the light measurements, (iii) describe the building and interaction with daylight. Moreover, attention is paid to the uncertainty in standards and guidelines regarding light and lighting for older adults.
Anxiety among pregnant women can significantly impact their overall well-being. However, the development of data-driven HCI interventions for this demographic is often hindered by data scarcity and collection challenges. In this study, we leverage the Empatica E4 wristband to gather physiological data from pregnant women in both resting and relaxed states. Additionally, we collect subjective reports on their anxiety levels. We integrate features from signals including Blood Volume Pulse (BVP), Skin Temperature (SKT), and Inter-Beat Interval (IBI). Employing a Support Vector Machine (SVM) algorithm, we construct a model capable of evaluating anxiety levels in pregnant women. Our model attains an emotion recognition accuracy of 69.3%, marking achievements in HCI technology tailored for this specific user group. Furthermore, we introduce conceptual ideas for biofeedback on maternal emotions and its interactive mechanism, shedding light on improved monitoring and timely intervention strategies to enhance the emotional health of pregnant women.
Fluorescence microscopy is an indispensable technique to resolve structure and specificity in many scientific areas such as diagnostics, health care, materials- and life sciences. With the development of multi-functional instruments now costing hundreds of thousands of Euros, the availability and access to high-tech instrumentation is increasingly limited to larger imaging facilities. Here, we will develop a cost-effective alternative by combining a commercially available solution for high-resolution confocal imaging (the RCM from confocal.nl) with an open-hardware microscopy framework, the miCube, developed in the Laboratory of Biophysics of Wageningen University & Research. In addition, by implementing a recent invention of the applicant for the spectral separation of different emitters, we will improve the multiplexing capabilities of fluorescence microscopy in general and the RCM in particular. Together, our new platform will help to translate expertise and know-how created in an academic environment into a commercially sustainable future supporting the Dutch technology landscape.
