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ixc2025:lappeenranta:team_3:start [2025/05/22 11:46] – [7. Behavioral Change Analysis] ntd432ixc2025:lappeenranta:team_3:start [2025/05/22 14:01] (current) – [8. Final Day Presentation Slides] ntd432
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 | **Metric**                        | **How to Measure**                 | **Expected Change**         | | **Metric**                        | **How to Measure**                 | **Expected Change**         |
-| --------------------------------- | ---------------------------------- | --------------------------- | 
 | **Average bedtime**               | Time of last motion/phone use      | Earlier and more consistent | | **Average bedtime**               | Time of last motion/phone use      | Earlier and more consistent |
 | **Wake-up time**                  | First PIR movement or wearable log | More consistent, earlier    | | **Wake-up time**                  | First PIR movement or wearable log | More consistent, earlier    |
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 | **Sleep stages (REM/deep/light)** | Wearable logs (e.g., Oura)         | Higher % of deep/REM sleep  | | **Sleep stages (REM/deep/light)** | Wearable logs (e.g., Oura)         | Higher % of deep/REM sleep  |
  
-Data Collection & Tools+**Data Collection & Tools**
 Sensors and Devices: Sensors and Devices:
-RFID sensor – Phone detection +  * RFID sensor – Phone detection 
- +  * PIR motion sensor – Movement before and during sleep 
-PIR motion sensor – Movement before and during sleep +  * Button input – Coffee habit monitoring 
- +  * Temperature & Humidity sensor (DHT11/DHT22) – Room environment 
-Button input – Coffee habit monitoring +  * Smart appliances – Logs of on/off state 
- +  * LCD Screen or App UI – Sleep reminders, feedback, manual input 
-Temperature & Humidity sensor (DHT11/DHT22) – Room environment +  * Wearables (Oura Ring, Fitbit, etc.) – Sleep stage and heart rate data
- +
-Smart appliances – Logs of on/off state +
- +
-LCD Screen or App UI – Sleep reminders, feedback, manual input +
- +
-Wearables (Oura Ring, Fitbit, etc.) – Sleep stage and heart rate data +
  
 Storage: Storage:
 +  * SD card or cloud logging (e.g., Firebase, Google Sheets)
 +  * Time-stamped logs for sensor data
 +  * Secure, anonymized user logs
  
-SD card or cloud logging (e.g., Firebase, Google Sheets) +**A. Quantitative Analysis:**
- +
-Time-stamped logs for sensor data +
- +
-Secure, anonymized user logs +
- +
- +
-A. Quantitative Analysis:+
 Track changes week-over-week or month-over-month Track changes week-over-week or month-over-month
  
 Key comparisons: Key comparisons:
 +  * Average bedtime before/after intervention
 +  * Caffeine intake frequency at night
 +  * Sleep duration and stage improvement
 +  * Night disturbances (motion events) reduced
 +  * Use graphs: sleep score trends, usage heatmaps, condition logs
  
-Average bedtime before/after intervention +**B. Qualitative Analysis:** 
- +  * Weekly reflections: user rates sleep quality & experience 
-Caffeine intake frequency at night +  * Note perceived stress, restfulness, energy levels 
- +  * Interview or survey users to understand comfort, usability
-Sleep duration and stage improvement +
- +
-Night disturbances (motion events) reduced +
- +
-Use graphs: sleep score trends, usage heatmaps, condition logs +
- +
-B. Qualitative Analysis: +
-Weekly reflections: user rates sleep quality & experience +
- +
-Note perceived stress, restfulness, energy levels +
- +
-Interview or survey users to understand comfort, usability+
 ==== 8. Final Day Presentation Slides ==== ==== 8. Final Day Presentation Slides ====
  
 +{{ :ixc2025:lappeenranta:team_3:smart-sleep-assistant-enhancing-sleep-and-efficiency.pptx |}}
 ==== 9. Final Code ==== ==== 9. Final Code ====
  
 +https://github.com/ntd432/ssa