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Smart_Watches_waerable_devices_presentation.pptx
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- 2. DEFINITION • Smartwatches arewrist-worn wearable devices that combine traditional timekeeping with advanced health monitoring, communication, and computing features.
- 3. HISTORICAL BACKGROUND • •Early 2010s: Pebble smartwatch (Kickstarter-funded) was one of the first widely adopted models. • • 2015 onwards: Apple Watch entered the market and reshaped the smartwatch ecosystem. • • Now: Samsung, Garmin, Huawei, Fitbit, and many others dominate the market.
- 4. KEY FUNCTIONS: HEALTH& FITNESS MONITORING • • Heart rate monitoring (optical sensors) • • ECG recording (electrodes built into watch crown) • • Blood oxygen level (SpO ), VO max, blood pressure (in ₂ ₂ advanced models) • • Sleep tracking (REM, deep sleep stages) • • Step tracking and calorie estimation
- 5. KEY FUNCTIONS: SAFETY FEATURES •• Fall detection: alerts emergency contacts if user falls and doesn’t respond. • • Emergency SOS: user can trigger emergency call with one tap. • • Arrhythmia detection: detects irregular heartbeats (atrial fibrillation).
- 6. LIFESTYLE & CONNECTIVITY •• Notifications for calls, messages, emails. • • Mobile payments (NFC). • • GPS navigation. • • Quick streaming, voice assistants (Siri, Alexa, Google Assistant).
- 7. APPLICATIONS • • Healthcare:Apple Watch ECG feature detects heart irregularities, saving lives. • • Sports: Garmin smartwatches track training load, recovery time. • • Elderly Care: Fall detection useful for seniors. • • General Public: Everyday use for health and productivity.
- 8. ADVANTAGES & LIMITATIONS •Advantages: • • Multipurpose (health + communication) • • Stylish, socially acceptable • • Strong integration with smartphones • Limitations: • • Short battery life (1–2 days in most models) • • Accuracy issues during high-intensity workouts • • Privacy concerns – sensitive health data stored in cloud • • Expensive compared to basic trackers
- 9. FUTURE TRENDS • •Non-invasive glucose monitoring • • Continuous blood pressure without cuff • • Stress and mental health sensing (skin conductance, HR variability) • • AI-driven personal health assistants