![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]](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
Recommended
More Related Content
Viewers also liked
Viewers also liked (6)
Similar to ENERGY-EFFICIENT SYSTEM DESIGN FOR WEARABLE PLATFORMS
Similar to ENERGY-EFFICIENT SYSTEM DESIGN FOR WEARABLE PLATFORMS (20)
Recently uploaded
Recently uploaded (20)
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]
- 7. 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. 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