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THE HUMAN INTRANET 
Jan M. Rabaey 
University of California at Berkeley 
IMINDS THE CONFERENCE, OCT 23 2014
The Swarm (IoT) Vision* 
 Integrated components approaching 
molecular limits and/or may cover 
complete walls 
 Every object will have wireless 
connection, hence leading to trillions of 
connected devices 
 Opportunistically collaborating to 
present unique experiences or to fulfill 
common goals 
[J. Rabaey, ASPDAC 2008] 
[J. Bryzek, Tsensors summit 2013] 
Innumerable applications in 
mobility, energy, environment, 
education, wellness, health, …
21st Century Question: “How to interact with 
information in a world where enriched senses and 
augmented interfaces are omnipresent?” 
The unPad* - Mobiles to disappear or unravel! 
*[BWRC 2010] 
Enabled by collaboration between environment and wearables
The Wearable Era has Come 
[Wired Magazine, January 2014] 
[Time Magazine, September 2014]
Wearable: 
An Extended Definition 
Any object or tool that moves 
in concert with human 
(includes bicycle, car, drill, 
Empowered humans medical kit, or exoskeleton …) 
in an augmented world
Wearables today – 
A stovepiped model! 
 Devices only compatible with devices of 
same company 
 Single or restricted function 
 Limited engagement with environment 
[Google lens] 
[Apple watch] 
Leads to short-term, 
incompatible and non-scalable gadgets 
[Google 
glass] 
[Fitbit]
An alternative : 
THE HUMAN INTRANET* 
“An open scalable platform that seamlessly integrates ever-increasing 
number of sensor, actuation, computation, 
storage, communication and energy nodes located 
around, on, or in human body acting in symbiosis 
with functions provided by the body itself, 
fundamentally altering the ways humans operate, and interact 
with physical world around them and cyberworld beyond.” 
(embracing original Internet vision) 
*[J. Rabaey, 2014] 
Building on concepts such as IMEC’s Human++
The Human Intranet in a nutshell 
Key properties: Distributed, formfitting and comfortable, extended 
operational periods, broad range of devices ranging from energy-rich to 
energy-starved, diverse interconnect strategies, adaptive and self-learning.
Brain-machine interfaces 
as an example
Some Crucial Challenges
Challenge: Energy sparsity 
Intertwining of energy and 
information distribution 
• Organically formed mesh network 
routes energy and data from sources 
to sinks 
• Dynamically configured based on 
needs and availability 
• Heterogeneous physical links 
(wired/wireless, electromagnetic, 
inductive, resistive, acoustic, …) 
Symbiotic to natural nervous 
and capillary system
Challenge: Dynamically changing conditions 
Adaptive and 
evolutionary systems 
• Combining local information extraction 
and decision making with centralized 
global learning and optimization 
• Supporting long-range and global 
functions such as feature extraction, 
sensor fusion, machine learning 
• Integrating empowered hub nodes with 
energy-frugal local processing 
B 
B 
A 
A 
B 
A: Hubs 
B: Sensor clusters
Challenge: Retain basic or partial 
functionality under all circumstances 
Inherently fail-safe 
• Implicit baselining and fall-back 
modes 
• Redundancy in network and 
compute resources 
• Adaptivity and 
Homeostatis is a 
balancing act that can be 
thrown out of whack by 
environmental challenges 
If the system cannot restore balance, it can lead 
to death! [Credit: tollecausom.com] 
reconfiguration
Challenge: Secure and private 
Human firewall 
• Every link to be encrypted 
• Keys to be generated from local 
observations (channel properties, 
biomarkers) 
• Creation of virtual cloak using 
deliberate self-interference 
• Adaptivity to avoid spamming
High-order bits 
 Wearables extend far beyond current 
industrial/commercial offering 
 Need open and scalable, yet safe and 
reliable platform to unleash creativity 
 Stretches technology to the limits 
[OCtattoos] 
 Potential impact hard to overestimate 
 Needs broader societal discussion NOW 
[Flexible skin electrodes, 
J. Rogers, UIUC] 
Required Reading: Peter Hamilton, Pandora’s Star

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The Human Intranet

  • 1. THE HUMAN INTRANET Jan M. Rabaey University of California at Berkeley IMINDS THE CONFERENCE, OCT 23 2014
  • 2. The Swarm (IoT) Vision*  Integrated components approaching molecular limits and/or may cover complete walls  Every object will have wireless connection, hence leading to trillions of connected devices  Opportunistically collaborating to present unique experiences or to fulfill common goals [J. Rabaey, ASPDAC 2008] [J. Bryzek, Tsensors summit 2013] Innumerable applications in mobility, energy, environment, education, wellness, health, …
  • 3. 21st Century Question: “How to interact with information in a world where enriched senses and augmented interfaces are omnipresent?” The unPad* - Mobiles to disappear or unravel! *[BWRC 2010] Enabled by collaboration between environment and wearables
  • 4. The Wearable Era has Come [Wired Magazine, January 2014] [Time Magazine, September 2014]
  • 5. Wearable: An Extended Definition Any object or tool that moves in concert with human (includes bicycle, car, drill, Empowered humans medical kit, or exoskeleton …) in an augmented world
  • 6. Wearables today – A stovepiped model!  Devices only compatible with devices of same company  Single or restricted function  Limited engagement with environment [Google lens] [Apple watch] Leads to short-term, incompatible and non-scalable gadgets [Google glass] [Fitbit]
  • 7. An alternative : THE HUMAN INTRANET* “An open scalable platform that seamlessly integrates ever-increasing number of sensor, actuation, computation, storage, communication and energy nodes located around, on, or in human body acting in symbiosis with functions provided by the body itself, fundamentally altering the ways humans operate, and interact with physical world around them and cyberworld beyond.” (embracing original Internet vision) *[J. Rabaey, 2014] Building on concepts such as IMEC’s Human++
  • 8. The Human Intranet in a nutshell Key properties: Distributed, formfitting and comfortable, extended operational periods, broad range of devices ranging from energy-rich to energy-starved, diverse interconnect strategies, adaptive and self-learning.
  • 11. Challenge: Energy sparsity Intertwining of energy and information distribution • Organically formed mesh network routes energy and data from sources to sinks • Dynamically configured based on needs and availability • Heterogeneous physical links (wired/wireless, electromagnetic, inductive, resistive, acoustic, …) Symbiotic to natural nervous and capillary system
  • 12. Challenge: Dynamically changing conditions Adaptive and evolutionary systems • Combining local information extraction and decision making with centralized global learning and optimization • Supporting long-range and global functions such as feature extraction, sensor fusion, machine learning • Integrating empowered hub nodes with energy-frugal local processing B B A A B A: Hubs B: Sensor clusters
  • 13. Challenge: Retain basic or partial functionality under all circumstances Inherently fail-safe • Implicit baselining and fall-back modes • Redundancy in network and compute resources • Adaptivity and Homeostatis is a balancing act that can be thrown out of whack by environmental challenges If the system cannot restore balance, it can lead to death! [Credit: tollecausom.com] reconfiguration
  • 14. Challenge: Secure and private Human firewall • Every link to be encrypted • Keys to be generated from local observations (channel properties, biomarkers) • Creation of virtual cloak using deliberate self-interference • Adaptivity to avoid spamming
  • 15. High-order bits  Wearables extend far beyond current industrial/commercial offering  Need open and scalable, yet safe and reliable platform to unleash creativity  Stretches technology to the limits [OCtattoos]  Potential impact hard to overestimate  Needs broader societal discussion NOW [Flexible skin electrodes, J. Rogers, UIUC] Required Reading: Peter Hamilton, Pandora’s Star