morpholio presents photoplethysmography technology transfer

morpholio presents photoplethysmography technology transfer
all images courtesy of morpholio

the morpholio team has added to their research and development with the launch of ‘photoplethysmography’, a transfer of technology that harnesses the digital and natural networks that surrounds us. the application uses volumetric readings through the user’s skin, analyzing responses of the body, such as heartbeat, to quantify the emotional content of images. the concept of the design is to utilize the communication of various interconnected technologies from cellphones and tablets, to the human body. jeffrey kenoff, co-creator, further explains that, ‘advancements in medical, aerospace, and entertainment domains have all had some applicability to design. if it is crucial for other professions to appreciate the value of design, it is equally important to acknowledge that advancements in those fields can impact our process.’

the camera reads small fluctuations in color that result from actual blood flow through the skin

images flash across the screen as the heart rate fluctuations of the user are recorded to track visceral response

opening up a world of possibilities for mobile devices
video courtesy of morpholio

stemming off of previous apps such as ‘trace’, the design team is largely interested in challenging the role of device culture in the creative process. assessing the responses our bodies make when engaging with the world can reflect our inner states. joining the analog and digital fields, the morpholio design tool measures EEG (electroencephalography) near the scalp and EMG (electromyography) muscle response or electrical activity in a nerve’s stimulation of the muscle. ‘all of our projects are a result of some research and problem solving…at morpholio, we make tools to empower designers and creative minds. we’re trying to figure out what the tools of the future should be,’ states anna kenoff, co-creator.

interface metrics monitor how much time you look at an image, and where someone zooms