Lifeboat Foundation

As any cat owner will tell you, a cat’s ears are great indicators of its state of mind: pointed forward if they want your attention, turned backwards if they’re angry, and folded down flat when they’re afraid. Humans sometimes don cat ear headbands as a fashion statement, but sitting motionless those ears are more likely to confuse a cat than to provide any meaningful communication.

[Jazz DiMauro] aims to fill that gap by designing a cat ear headband that actually responds to your emotions. It does so by continuously taking an EEG measurement and extracting the “attention” and “meditation” variables from it. Those values are then applied to a set of servos that allow two-axis motion on each 3D printed ear. The EEG readout device is an off-the-shelf MindWave headset, which outputs its sensor data through Bluetooth. An Arduino then reads out the data and drives the servos.

Turning all this into a usable wearable device was a project on its own: [Jazz] went through several iterations to find a suitable power source and wiring strategy until they settled on a pair of lithium-polymer batteries and a single flat cable. The end result looks comfortable enough to wear, and the ears’ motion looks smooth and natural. All that’s left is to test it with real cats, to find out if they can now finally understand their human’s emotions too.

Would you share your data for the common good? Biomechanist Jacqueline Alderson shows how sophisticated simulations based on real data can help prevent disease, illness and injury. Jacqueline Alderson is an Associate Professor of Biomechanics at the University of Western Australia and Adjunct Professor of Human Performance, Innovation and Technology at the Auckland University of Technology. She has always been curious about movement — whether it’s helping surgeons make best practice decisions or helping AFL players avoid knee injuries. She now travels the world to share her knowledge in human movement, wearable tech and artificial intelligence and its role in tracking, analysing and intervening in the human condition. This talk was given at a TEDx event using the TED conference format but independently organized by a local community.

US-based Kernel released a piece of wearable helmet tech called the Kernel Flow that uses near-infrared light to scan your brain with lasers.

Google has patented technology that will let users control its smartwatches and earbuds by simply touching their skin.

The patent titled “Skin interface for Wearables: Sensor fusion to improve signal quality” was spotted by folks over at LetsGoDigital. It details tech that users can use to operate wearable devices using skin gestures.

Patent documents show that users can swipe or tap the skin near the wearables in order to control them. The gesture creates a mechanical wave that is picked up by the sensors in the wearables. The “Sensor Fusion” tech then combines this movement data collected from various sensors into an input command for the wearable.

Is the Chief Medical Officer at Current Health (https://currenthealth.com/), a Best Buy Health company (https://healthcare.bestbuy.com/) and part of the American multinational consumer electronics retailer.

Current Health is an organization that enables the delivery of healthcare services in the home to enable healthcare organizations to deliver high-quality, patient-centric care at a lower cost. The company integrates patient-reported data with data from biosensors – including their own continuous monitoring wearable devices – to provide healthcare organizations with actionable, real-time insights into the patient’s condition. Leveraging clinical algorithms that can be tailored to the individual patient, Current Health identifies when a patient needs clinical attention, allowing organizations to manage patient care remotely or coordinate in-home care via integrated service partners. The Current Health platform brings together tele-health capabilities, patient engagement tools, and in-home connectivity to provide a single solution to manage all care in the home. Dr. Wolfberg also leads implementation and account management at the organization.

Continue reading “Dr. Adam Wolfberg, MD, MPH — Chief Medical Officer, Current Health — Quality Healthcare In The Home” »

UC Berkeley engineers have come up a new technique for creating wearable sensor prototypes.

The geopolitical tension surrounding.

No he does not respond to the resveratrol challenges. Important here are the chapters concerning Resetting the Ageing Clock and Repeatable Ageing Reversal.

In the final episode of this season, Dr. David Sinclair and Matthew LaPlante focus on current and near-future technologies relevant to health and aging. In addition to discussing the utility of wearable sensors and biological age measurements, they highlight innovative research aimed at reversing biological age. The societal effects of therapies that successfully extend healthspan and/or lifespan are also considered.

Continue reading “Biotracking, Age Reversal & Other Advanced Health Technologies | Lifespan with Dr. David Sinclair #8” »

And it’s the size of a grain of dust. Energy storage might have been revolutionized thanks to a common dessert dish.

Advances in microelectronics have enabled the use of miniaturized computers for autonomous intelligence at the size of a dust particle less than one square millimeter across and a few hundred micrometers thick, creating an environment for ubiquitous computing. However, the size mismatch between microbatteries and microelectronics has emerged as a fundamental barrier against the take-off of tiny intelligent systems requiring power anytime anywhere. Mainstream microbattery structures include stacked thin films on the chip or electrode pillars and on-chip interdigitated microelectrodes. Nevertheless, available technologies cannot shrink the footprint area of batteries while maintaining adequate energy storage. Alternatively, the on-chip self-assembly process known as micro-origami is capable of winding stacked thin films into Swiss-roll structures to reduce the footprint area, which exactly mimics the manufacture of the most successful full-sized batteries—cylinder batteries. In addition to discussing in detail the technical difficulties of reducing the size of on-chip microbatteries with various structures and potential solutions, this Perspective highlights the following two basic requirements for eventual integration in microcomputers: minimum energy density of 100 microwatt-hour per square centimeter and monolithic integration with other functional electric circuits on the chip.