This project creates a fall detection system that monitors an elderly person’s activity and alerts caregivers when a fall is suspected. Using multiple PIR sensors placed strategically, the system detects unusual patterns\u2014sudden motion followed by prolonged inactivity\u2014and sends an alert via SMS, email, or local alarm.<\/p>\n
Difficulty:<\/strong> Intermediate The system uses one or more PIR sensors to monitor movement patterns in key areas (bedroom, bathroom, living room). It tracks normal activity patterns and detects anomalies:<\/p>\n When a potential fall is detected, the system activates an alarm and sends notifications to caregivers.<\/p>\n Place sensors strategically to cover key areas:<\/p>\n For improved accuracy, you can use machine learning to classify fall patterns:<\/p>\n Create a simple web interface to display activity logs:<\/p>\n This fall detection system provides peace of mind for caregivers and independence for elderly individuals living alone. With proper placement and configuration, it can detect falls promptly and ensure help arrives quickly.<\/p>\n","protected":false},"excerpt":{"rendered":" Project Overview This project creates a fall detection system that monitors an elderly person’s activity and alerts caregivers when a fall is suspected. Using multiple PIR sensors placed strategically, the system detects unusual patterns\u2014sudden motion followed by prolonged inactivity\u2014and sends an alert via SMS, email, or local alarm. Difficulty: Intermediate Estimated time: 3-4 hours Estimated […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[9],"tags":[],"class_list":["post-3918","post","type-post","status-publish","format-standard","hentry","category-projects"],"blocksy_meta":[],"yoast_head":"\r\n
\nEstimated time:<\/strong> 3-4 hours
\nEstimated cost:<\/strong> $40-60<\/p>\nHow It Works<\/h2>\n
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Materials Needed<\/h2>\n
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Sensor Placement<\/h2>\n
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Circuit Diagram<\/h2>\n
Connection Table<\/h3>\n
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Component<\/th>\n Pin<\/th>\n ESP32 Pin<\/th>\n<\/thead>\n \nPIR Sensor 1 (Bedroom)<\/th>\n OUT<\/th>\n GPIO 4<\/th>\n<\/tr>\n PIR Sensor 2 (Bathroom)<\/th>\n OUT<\/th>\n GPIO 5<\/th>\n<\/tr>\n PIR Sensor 3 (Living Room)<\/th>\n OUT<\/th>\n GPIO 6<\/th>\n<\/tr>\n PIR Sensor 4 (Hallway)<\/th>\n OUT<\/th>\n GPIO 7<\/th>\n<\/tr>\n Buzzer<\/th>\n Positive<\/th>\n GPIO 8<\/th>\n<\/tr>\n Buzzer<\/th>\n Negative<\/th>\n GND<\/th>\n<\/tr>\n Status LED<\/th>\n Anode<\/th>\n GPIO 2 (through 220\u03a9)<\/th>\n<\/tr>\n Status LED<\/th>\n Cathode<\/th>\n GND<\/th>\n<\/tr>\n<\/tbody>\n<\/table>\n Arduino Code<\/h2>\n
\/\/ Elderly Fall Detection System\n#include <WiFi.h>\n#include <HTTPClient.h>\n\n\/\/ Wi-Fi credentials\nconst char* ssid = \"YourWiFiSSID\";\nconst char* password = \"YourWiFiPassword\";\n\n\/\/ Telegram bot configuration (optional)\nconst char* botToken = \"YourTelegramBotToken\";\nconst char* chatID = \"YourChatID\";\n\n\/\/ Pin definitions\nconst int pirPins[] = {4, 5, 6, 7}; \/\/ Bedroom, Bathroom, Living, Hallway\nconst int buzzerPin = 8;\nconst int ledPin = 2;\nconst int numSensors = 4;\n\n\/\/ Sensor names\nconst char* sensorNames[] = {\"Bedroom\", \"Bathroom\", \"Living Room\", \"Hallway\"};\n\n\/\/ Fall detection parameters\nunsigned long lastMotionTime = 0;\nunsigned long lastEventTime = 0;\nconst unsigned long inactivityThreshold = 300000; \/\/ 5 minutes of no motion\nconst unsigned long fallCooldown = 60000; \/\/ 1 minute between alerts\n\nbool fallAlertActive = false;\nbool normalActivity = true;\nunsigned long lastActivityTime[numSensors];\nint motionCounts[numSensors];\n\n\/\/ For detecting rapid movement\nconst int rapidMovementThreshold = 3; \/\/ 3 detections within 5 seconds\nunsigned long rapidMovementWindow = 5000;\nunsigned long rapidMovementStartTime = 0;\nint rapidMovementCount = 0;\n\nvoid setup() {\n Serial.begin(115200);\n \n for (int i = 0; i < numSensors; i++) {\n pinMode(pirPins[i], INPUT);\n lastActivityTime[i] = 0;\n motionCounts[i] = 0;\n }\n \n pinMode(buzzerPin, OUTPUT);\n pinMode(ledPin, OUTPUT);\n digitalWrite(buzzerPin, LOW);\n digitalWrite(ledPin, LOW);\n \n WiFi.begin(ssid, password);\n while (WiFi.status() != WL_CONNECTED) {\n delay(500);\n Serial.print(\".\");\n }\n Serial.println(\"WiFi connected\");\n \n Serial.println(\"Fall Detection System Ready\");\n delay(60000); \/\/ PIR warm-up\n}\n\nvoid sendTelegramAlert(String message) {\n if (WiFi.status() == WL_CONNECTED) {\n HTTPClient http;\n String url = \"https:\/\/api.telegram.org\/bot\" + String(botToken) + \"\/sendMessage\";\n http.begin(url);\n http.addHeader(\"Content-Type\", \"application\/json\");\n String payload = \"{\\\"chat_id\\\":\\\"\" + String(chatID) + \"\\\", \\\"text\\\":\\\"\" + message + \"\\\"}\";\n int httpCode = http.POST(payload);\n http.end();\n }\n}\n\nvoid activateAlarm() {\n if (!fallAlertActive) {\n fallAlertActive = true;\n Serial.println(\"FALL DETECTED! Activating alarm\");\n \n \/\/ Send alert\n sendTelegramAlert(\"\u26a0\ufe0f FALL DETECTED! Please check on the individual immediately.\");\n \n \/\/ Activate local alarm\n digitalWrite(ledPin, HIGH);\n for (int i = 0; i < 10; i++) {\n tone(buzzerPin, 2000, 500);\n delay(500);\n tone(buzzerPin, 2500, 500);\n delay(500);\n }\n }\n}\n\nvoid resetAlarm() {\n if (fallAlertActive) {\n fallAlertActive = false;\n digitalWrite(ledPin, LOW);\n digitalWrite(buzzerPin, LOW);\n Serial.println(\"Alarm reset by caregiver\");\n sendTelegramAlert(\"\u2705 Fall alarm has been reset.\");\n }\n}\n\nvoid checkForFall() {\n unsigned long currentTime = millis();\n bool anyMotion = false;\n unsigned long latestMotionTime = 0;\n \n \/\/ Check all sensors\n for (int i = 0; i < numSensors; i++) {\n bool motion = digitalRead(pirPins[i]) == HIGH;\n \n if (motion) {\n anyMotion = true;\n latestMotionTime = currentTime;\n \n \/\/ Update last activity time\n if (currentTime - lastActivityTime[i] > 1000) {\n lastActivityTime[i] = currentTime;\n motionCounts[i]++;\n \n \/\/ Check for rapid movement (possible fall)\n if (currentTime - rapidMovementStartTime < rapidMovementWindow) {\n rapidMovementCount++;\n } else {\n rapidMovementStartTime = currentTime;\n rapidMovementCount = 1;\n }\n \n Serial.print(\"Motion in \");\n Serial.print(sensorNames[i]);\n Serial.print(\" - Count: \");\n Serial.println(motionCounts[i]);\n }\n }\n }\n \n \/\/ Rapid movement detection (possible fall)\n if (rapidMovementCount > rapidMovementThreshold) {\n Serial.println(\"Rapid movement detected - possible fall!\");\n activateAlarm();\n }\n \n \/\/ Prolonged inactivity after activity\n if (!anyMotion && normalActivity && (currentTime - lastMotionTime > inactivityThreshold)) {\n Serial.println(\"Prolonged inactivity - possible fall!\");\n activateAlarm();\n normalActivity = false;\n }\n \n if (anyMotion) {\n lastMotionTime = currentTime;\n normalActivity = true;\n }\n}\n\nvoid loop() {\n checkForFall();\n \n \/\/ Check for manual reset button (optional, use GPIO 0)\n if (digitalRead(0) == LOW) {\n delay(50);\n if (digitalRead(0) == LOW) {\n resetAlarm();\n while (digitalRead(0) == LOW) delay(10);\n }\n }\n \n delay(100);\n}\n<\/code><\/pre>\nMachine Learning Enhanced Version<\/h2>\n
\/\/ ML-enhanced fall detection (simplified)\n\/\/ Uses edge impulse or TensorFlow Lite Micro\n\n\/\/ Features to extract:\n\/\/ - Motion intensity (number of detections per second)\n\/\/ - Duration of motion event\n\/\/ - Post-motion inactivity period\n\/\/ - Location of detection (bathroom = higher risk)\n\n\/\/ Placeholder for model inference\nbool isFall(int* features) {\n \/\/ In real implementation, run features through model\n \/\/ and return classification result\n return false;\n}\n<\/code><\/pre>\nInstallation Steps<\/h2>\n
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Caregiver Dashboard (Optional)<\/h2>\n
#include <WebServer.h>\nWebServer server(80);\n\nvoid handleRoot() {\n String html = \"<html><head><title>Fall Detection Dashboard<\/title><\/head><body>\";\n html += \"<h1>Activity Monitor<\/h1><table border=1><tr><th>Area<\/th><th>Last Activity<\/th><th>Today's Count<\/th><\/tr>\";\n for (int i = 0; i < numSensors; i++) {\n html += \"<tr><td>\";\n html += sensorNames[i];\n html += \"<\/td><td>\";\n html += String((millis() - lastActivityTime[i]) \/ 1000);\n html += \" seconds ago<\/td><td>\";\n html += String(motionCounts[i]);\n html += \"<\/td><\/tr>\";\n }\n html += \"<\/table><\/body><\/html>\";\n server.send(200, \"text\/html\", html);\n}\n\nvoid setup() {\n \/\/ ... existing setup ...\n server.on(\"\/\", handleRoot);\n server.begin();\n}\n\nvoid loop() {\n server.handleClient();\n \/\/ ... rest of loop ...\n}\n<\/code><\/pre>\nProject Extensions<\/h2>\n
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Troubleshooting<\/h2>\n
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Ethical and Privacy Considerations<\/h2>\n
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Conclusion<\/h2>\n