Nymi: Identity through heartbeats [Video]

As discussed in #hkuiom over the past years, Identity Management is a major unsolved problem that limits the ability for seamless computing and digitized service delivery. A problem that can provide much profits to the company that solves it. Nymi, which ships this fall, proposes to use an individual’s unique heartbeat, combined with a registered smartphone, as a basis for authentication.

 

http://youtu.be/jUO7Qnmc8vE

Human Augmentation via Exoskeleton [Video]

One of the ET projects during last term’s #hkuiom showcased several videos on human augmentation. This video is a promo of Lockheed Martin’s HULK Exoskeleton, which is designed to enhance the capabilities of a human soldier.

 

 

Technology Trends

Key tech trends include wearable computing, contextual apps, big data and maturation of social networks.

 

Futurologist Robert Scoble has predicted four major tech trends – wearable computing (see my previous posts here), contextual apps, Big Data (see previous posts here), and social network maturation.

future

future (Photo credit: Sean MacEntee)

 

While these trends will surely change commerce practice in the coming years, the nexus of these trends will be immensely disruptive. Think convergence – contextual apps on wearable computers that provide services based on real-time analysis of social and location data, delivered via omnipresent wireless internet access.

 

Wearable computing: Think Google Glasses or Motorola Solutions’ new HC1 headset computer that you attach to your head and operate with voice commands

The “open world”: Android’s relative openness has encouraged “contextual apps” to emerge from the woodwork. “Apple doesn’t let them [developers] talk to the WiFi radio or bluetooth radio,” said Scoble.

Weird databases and the rise of “big data”: “We are seeing weird databases spring up like mushrooms,” said Scoble. These include NoSQL, Firebase, and MongoDB.

The maturation of social networks: The leading social media sites like Facebook, Twitter, and LinkedIn are accumulating a massive store of user-generated data. What will they do with it?

 

Read more at http://venturebeat.com/2012/10/24/scoble-kawasaki/#B8hsX6orKpglPyWy.99