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ONWRIST / OFFWRIST DETECTION OF HEALTH CARE WRIST BAND USING ML (IOT)
Project type
ML Algorithm Development
● Statistical Analysis on vital data
● Developed low memory ML based model for detection of on-wrist and off-wrist of the band that could run inside a Microcontroller (MCU)
● Providing support to Hardware & Firmware team
● Our model increased the battery life of the band from 100-120 hours to 150-160 hours of continuous usage, an increase in efficiency by 30%
Responsibilities:
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