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Energy-Efficient System Design
for Wearable Platforms
Anantha Chandrakasan
Department Head, EECS
Acknowledgements: Ishwarya Ananthabhotla, Laura
Giarré, Nathan Ickes, Dongsuk Jeon, Priyanka
Raina, Daniela Rus, Nick Wang
2
Wearable Systems
Finger-mounted reading device
for the blind [P. Maes, Media Lab]
Body Worn Health Monitoring
[IMEC and Partners]
Navigation Device
[D. Rus, CSAIL]
Virtual Touch Screen
[D. Katabi, CSAIL]
3
Battery
Processor (Bottom) Sensors (Bottom)
Processor Board
Sensor Board
Accelerometers
ADC
Processor (Top)
CPU/Radio
Solar Cell
Antenna
Low-Power Sensor System
4
Power Button
ToF Camera
Navigation Device Concept
Obstacle
Ground Plane
Interface
Processor
Wireless
Battery
(inside)
5
Use of Hardware Accelerator
Low-light Enhancement
LLE outputFlash
No-Flash
• More than 100x reduction in energy consumption using an
accelerator for computational photography
• Parallel architectures allows low-voltage operation
[R. Rithe, ISSCC 2013]
6
Combine Processor (CPU) with
Accelerators
 Overall energy reduction >10x in complete applications
compared to CPU-only approach (for EEG and ECG
applications)
64kb
SRAM 1
µC CORE
FFT
MEDIANGPIO FIR
MISC
64kb
SRAM 2
MU
LT
JT
AG
COR
DIC
TIM
ER
SER
IAL
3mm
4mm
RTC
Joyce Kwong
[ESSCIRC ’10]
7
System-Level Energy Savings
Accelerometer
Power
Management
Processor
Acceleration
Data
Status
Decision
Standing/Sitting
Walking
Low Power Mode
(Slow Frame Rate)
High Speed Mode
(Fast Frame Rate)
8
Energy Harvesting Techniques
Piezoelectric
Micro-Power
Generator
Sang-Gook Kim (MIT)
Thermal
Harvesting
Wearable Systems Can be Powered from Energy
Harvesting
Chris Van Hoof (IMEC)
Wireless
Power
Nachiket Desai (MIT)
9
Endoelectronics chip:
EP harvester architecture
*
VIN
VEP
The endocochlear potential (EP) was
discovered 60 years ago by Georg von Békésy
Mercier, P. P., A. C. Lysaght, S. Bandyopadhyay, A. P. Chandrakasan, K. M. Stankovic, "Energy
extraction from the biologic battery in the inner ear," Nature Biotechnology, Nov. 2012.
Maximum
Extractable
Power:
1.1 to 6.25nW
10
Fully-Implantable Cochlear Implant
Conventional CI
External microphone,
processor, coil
Fully-Implantable Solution
• Charge in 2 minutes for typical day use
Yip, M., R. Jin, H. H. Nakajima, K. M. Stankovic, A. P. Chandrakasan, "A Fully-Implantable Cochlear Implant SoC
with Piezoelectric Middle-Ear Sensor and Energy-Efficient Stimulation in 0.18µm HVCMOS," ISSCC 2014.
11
Principles and Practice of Assistive
Technology (PPAT) and AT Hack @ MIT
Blicycle (PPAT 2011) : Steven Levine and Emily Obert
Touch and Sign (PPAT 2014): Jeffrey Drucker, Yi Tong, David Ke, Jodie Chen
Accessible Oven design (PPAT 2013): Abigail Klein, Jose Marcon, Jakub Sanak
AT Hack: Ishwarya Ananthabhotla, Jaya Narain, Jennifer Tylock
Courtesy Ishwarya Ananthabhotla
12
We acknowledge the generous support of the following
organizations :
Energy efficient design is critical in enabling
practical wearable devices for the visually-
impaired. A system-level design approach is
needed to reduce energy.
Summary

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ENERGY-EFFICIENT SYSTEM DESIGN FOR WEARABLE PLATFORMS

  • 1. Energy-Efficient System Design for Wearable Platforms Anantha Chandrakasan Department Head, EECS Acknowledgements: Ishwarya Ananthabhotla, Laura Giarré, Nathan Ickes, Dongsuk Jeon, Priyanka Raina, Daniela Rus, Nick Wang
  • 2. 2 Wearable Systems Finger-mounted reading device for the blind [P. Maes, Media Lab] Body Worn Health Monitoring [IMEC and Partners] Navigation Device [D. Rus, CSAIL] Virtual Touch Screen [D. Katabi, CSAIL]
  • 3. 3 Battery Processor (Bottom) Sensors (Bottom) Processor Board Sensor Board Accelerometers ADC Processor (Top) CPU/Radio Solar Cell Antenna Low-Power Sensor System
  • 4. 4 Power Button ToF Camera Navigation Device Concept Obstacle Ground Plane Interface Processor Wireless Battery (inside)
  • 5. 5 Use of Hardware Accelerator Low-light Enhancement LLE outputFlash No-Flash • More than 100x reduction in energy consumption using an accelerator for computational photography • Parallel architectures allows low-voltage operation [R. Rithe, ISSCC 2013]
  • 6. 6 Combine Processor (CPU) with Accelerators  Overall energy reduction >10x in complete applications compared to CPU-only approach (for EEG and ECG applications) 64kb SRAM 1 µC CORE FFT MEDIANGPIO FIR MISC 64kb SRAM 2 MU LT JT AG COR DIC TIM ER SER IAL 3mm 4mm RTC Joyce Kwong [ESSCIRC ’10]
  • 8. 8 Energy Harvesting Techniques Piezoelectric Micro-Power Generator Sang-Gook Kim (MIT) Thermal Harvesting Wearable Systems Can be Powered from Energy Harvesting Chris Van Hoof (IMEC) Wireless Power Nachiket Desai (MIT)
  • 9. 9 Endoelectronics chip: EP harvester architecture * VIN VEP The endocochlear potential (EP) was discovered 60 years ago by Georg von Békésy Mercier, P. P., A. C. Lysaght, S. Bandyopadhyay, A. P. Chandrakasan, K. M. Stankovic, "Energy extraction from the biologic battery in the inner ear," Nature Biotechnology, Nov. 2012. Maximum Extractable Power: 1.1 to 6.25nW
  • 10. 10 Fully-Implantable Cochlear Implant Conventional CI External microphone, processor, coil Fully-Implantable Solution • Charge in 2 minutes for typical day use Yip, M., R. Jin, H. H. Nakajima, K. M. Stankovic, A. P. Chandrakasan, "A Fully-Implantable Cochlear Implant SoC with Piezoelectric Middle-Ear Sensor and Energy-Efficient Stimulation in 0.18µm HVCMOS," ISSCC 2014.
  • 11. 11 Principles and Practice of Assistive Technology (PPAT) and AT Hack @ MIT Blicycle (PPAT 2011) : Steven Levine and Emily Obert Touch and Sign (PPAT 2014): Jeffrey Drucker, Yi Tong, David Ke, Jodie Chen Accessible Oven design (PPAT 2013): Abigail Klein, Jose Marcon, Jakub Sanak AT Hack: Ishwarya Ananthabhotla, Jaya Narain, Jennifer Tylock Courtesy Ishwarya Ananthabhotla
  • 12. 12 We acknowledge the generous support of the following organizations : Energy efficient design is critical in enabling practical wearable devices for the visually- impaired. A system-level design approach is needed to reduce energy. Summary