Project
| # | Title | Team Members | TA | Documents | Sponsor |
|---|---|---|---|---|---|
| 33 | HelpMeRecall |
Michael Jiang Sravya Davuluri William Li |
Hossein Ataee | design_document2.pdf proposal3.pdf |
|
| # HelpMeRecall Team Members: - Sravya Davuluri (sravyad2) - William Li (wli202) - Michael Jiang (mbjiang2) # Problem Many individuals have difficulty remembering recent activities and completing routine tasks like eating or taking medication. # Solution A standalone assistive device that supports activity recall using sensor-gated voice interaction. It allows users to verbally log activities they have completed, and later query if a specific activity has been performed. It uses an onboard microphone and on-device audio processing on a microcontroller to perform keyword detection. This device is always on and will be verifiable with an LED, but the voice input is only accepted if the device is worn (capacitive touch sensor) and specific words from a limited vocabulary is said to avoid accidental logging. To address the possibility of reduced correct detection of supported keywords, we will have various keywords targeted for an activity. So in the case of taking medicine, it might be medicine, medication, pill, drug, and prescription. This also simplifies the problem and prevents confidence rate issues. To validate a completed action, the action is logged only if an accelerometer detects physical movement around the time in order to reduce false logging. If a voice log is accepted, haptic feedback is provided by the device. Activities are also timestamped and stored in local memory. If the device notes that a specific activity has been completed, it affirms it including the timestamp using an integrated speaker. The logs reset at midnight automatically since the activities repeat on the daily. There is also an option of a hard reset button to clear logs. There will also be a button to delete the latest log in case of a logging mistake by the user. # Solution Components ## Subsystem 1: Microcontroller Unit and Controls Acts as the central unit for logic. Manages the sensor inputs, and executes a finite state machine. The FSM states are start, idle, listening, logging, and replying. Components: ESP32-S3-WROOM-1 ## Subsystem 2: Audio input processing unit Captures the voice input from the user and performs keyword detection on a limited vocabulary, where each action can be mapped to multiple set keywords to improve detection. Components: Digital MEMS microphone (INMP441), ESP32-S3-WROOM-1 ## Subsystem 3: Sensor gating and activity validation Uses a capacitive touch sensor and an accelerometer to detect motion, which ensures that voice input is only received and accepted if the device is worn and recent movement is detected by the accelerometer instead of continuous voice recognition. A "cooldown" period is enforced where the microphone will be disabled for 10 seconds if there's motion but no logging during the listening period multiple times in a row to help conserve some battery. Components: Capacitive touch sensor (AT42QT1010), Accelerometer (MPU-6050) ## Subsystem 4: Feedback and Output Uses a speaker for audio feedback as a response to the user’s query. This subsystem also provides haptic feedback as an indication of an accepted user voice log. To indicate if the device is on, the LED is green. If the device is listening, the LED is yellow. If the device is low on power, the LED will be red. Components: Speaker (8 ohm speaker), amplifier (MAX98357A), coin vibration motor, transistor (2N3904), RGB LED ## Subsystem 5: Time logging and local storage Stores the activity voice logs along with timestamps. Allows automatic reset at midnight to support daily repetitive tasks. Timekeeping is done using ESP32’s internal RTC. Components: ESP32-S3-WROOM-1 ## Subsystem 6: Power Supplies power to the device. Components: Battery (Li-Po battery) # Criterion For Success - Correctly detects supported keywords with an accuracy of at least 80% in a quiet environment - Device will only log upon verifying physical activity and hearing a keyword from the user within a 5 second window - Upon successful logging, the speaker will output audibly and haptic feedback can be felt by the user with a 2 second vibration - While querying logs, speaker will output and LED will be solid - Logs will be automatically cleared at midnight and can be manually reset with the reset button - Latest log will be deleted upon pushing a separate button - LED stays solid while device is powered - False log rate < 1 per hour in normal conversation when worn. |
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