HEALTH CARE FOR THE ELDERLY USING. Copyright 2015, Oracle and/or its affiliates. All rights reserved.

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1 HEALTH CARE FOR THE ELDERLY USING

2 Safe Harbor Statement The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described for Oracle s products remains at the sole discretion of Oracle.

3 ABOUT ME Gerrit Grunwald Developer Evangelist Oracle

4

5 BEAUTIFUL ON THE COUNTRYSIDE

6 BUT

7 THERE ARE PROBLEMS

8 DEPOPULATION

9 DEPOPULATION Countryside less popular to younger people Young people moving to the cities People in general getting older

10 DEPOPULATION (e.g. GERMANY) 101 PopulaUon in 1995 = Congested Areas Country Side

11 LESS ACCESS

12 LESS ACCESS TO DOCTORS In rural areas half as many doctors Up to 5 times the distance to access health care services Fewer specialized health care services

13 AGING

14 DREAMS

15 OFTEN THE REALITY

16 PEOPLE ARE ALONE

17

18

19 HEALTH INDICATORS

20 HEALTH INDICATORS Steps walked a day Rooms changed a day Locations visited outside Time the TV set was running

21 HEALTH ALERTS

22 HEALTH ALERTS Dramatic decrease of steps for a longer period Room doesn't change anymore and person is at home

23 HEALTH ALERTS Location outside doesn't change TV is not used at all and person is at home Manual alarm button was triggered

24 HEALTH ALERTS Location outside doesn't change for long and it is night Location outside and bad weather (e.g. very cold etc.)

25 DATA PROCESSING

26 DATA PROCESSING COLLECT AGGREGATE ANALYZE VISUALIZE

27 DATA PROCESSING COLLECT AGGREGATE ANALYZE VISUALIZE

28 COLLECTING

29 HARDWARE REQUIREMENTS

30 HARDWARE REQUIREMENTS Internet connection is crucial ibeacons to locate current room Accelerometer to count steps GPS to locate person outside Wattmeter to detect TV usage

31 IBEACONS

32 IBEACONS

33 IBEACONS Bluetooth Low Energy Broadcast unique ID Interval s Trigger location based action Useful for indoor navigation

34 IBEACONS Device Beacon Person detects enters in each room beacon ID 1 ID 2 ID 3 ID 4

35 IBEACONS TX Power to strong ID 1 ID 2 ID 3 ID 4

36 IBEACONS TX Power less strong ID 1 ID 2 ID 3 ID 4

37 1ST ATTEMPT

38 1ST ATTEMPT

39 1ST ATTEMPT Odroid- W board GPS sensor BLE adapter Accelerometer Java SE 8 emb.

40 1ST ATTEMPT To clunky Obtrusive Hard to handle No interactivity Battery life

41 2ND ATTEMPT

42 2ND ATTEMPT

43 2ND ATTEMPT AtomWear Accelerometer BLE Tiny display C

44 2ND ATTEMPT No GPS Hard to handle No interactivity Battery life

45 3RD ATTEMPT

46 3RD ATTEMPT

47 3RD ATTEMPT 3G/4G connection WiFi BLE Long battery runtime Can count steps

48 3RD ATTEMPT WiFi BLE Long battery runtime Can count steps Interacts with phone

49 3RD ATTEMPT Flic button BLE Long battery runtime Can trigger alerts

50 3RD ATTEMPT Easy to handle BLE and GPS Battery life Connectivity Interactivity

51 SOFTWARE REQUIREMENTS

52 SOFTWARE REQUIREMENTS Detect GPS location and Beacons Interact with Flic button Aggregate steps Call a contact person Publish data via MQTT

53 MOBILE APPLICATION

54 MOBILE APPLICATION SETUP HELP

55 MOBILE APPLICATION Can call contact person Can send Alert message Collects steps Detect beacons/location Has fall detection

56 FALL DETECTION AcceleraUon 2 g Impact (max) 1 g g Fall detection 0 g Falling (min) 1s window Posture recognition Hit rate 85%

57 WEAR APPLICATION

58 WEAR APPLICATION Call contact person Send Alert message Collects steps

59 FLIC BUTTON

60 FLIC BUTTON Can trigger the Alert

61 DATA PROCESSING COLLECT AGGREGATE ANALYZE VISUALIZE

62 DATA PROCESSING COLLECT AGGREGATE ANALYZE VISUALIZE

63 AGGREGATING

64 IOT GATEWAY

65 IOT GATEWAY ARM based Single Board Computer i.mx6 Quad 1GHz 4 GB RAM Java SE 8 emb.

66 IOT GATEWAY GeoFence Server Aggregates data (direct, mqtt) Filters data Forwards data

67 GEO FENCING

68 GEO FENCING Location via MQTT Check location against fences React on entering or leaving a fence

69 AGGREGATING DATA

70 AGGREGATING DATA From directly connected sensors From mobile phone via MQTT From GeoFence server via MQTT

71 FILTERING DATA

72 FILTERING DATA Filter faulty sensor data Filter wrong location data Filter geo fence data

73 DATA FORWARDING

74 DATA FORWARDING Forwards filtered person data to REST service running on Application Server Forwards/stores filtered person data to database (once a day)

75 DATA PROCESSING COLLECT AGGREGATE ANALYZE VISUALIZE

76 DATA PROCESSING COLLECT AGGREGATE ANALYZE VISUALIZE

77 ANALYZING

78

79 Engine for large scale data processing Easily deployed in a cluster Engine written in Scala with API support for Scala, Java, Python

80 Supports >80 data analysis algorithms Map- Reduce, groupby, fold, join, count, union, sum, Can use data from HDFS, Cassandra, SQL, Streams and others

81 Incoming Data Stream Data Data Data Data Data Data Data Data Data Data Data

82 Incoming Data Stream Data Data Data Data Data Data Data Data Data Data Data AGGREGATE

83 Incoming Data Stream Data Data Data Data Data Data Data Data Data Data Data AGGREGATE ANALYZE

84 Incoming Data Stream Data Data Data Data Data Data Data Data Data Data Data AGGREGATE ANALYZE CREATE RULES

85 Incoming Data Stream Data Data Data Data Data Data Data Data Data Data Data AGGREGATE ANALYZE CREATE RULES CHECK RULES

86 Incoming Data Stream Data Data Data Data Data Data Data Data Data Data Data AGGREGATE ANALYZE CREATE RULES CHECK RULES RULE 1 RULE 2 RULE 3 RULE 4 RULE 5

87 Incoming Data Stream Data Data Data Data Data Data Data Data Data Data Data AGGREGATE ANALYZE CREATE RULES CHECK RULES RULE 1 RULE 2 RULE 3 RULE 4 RULE 5 REST

88 RULES

89 RULES Usually person walks 3000 steps a day Usually person is going to the supermarket every Tuesday Person uses TV for 5h a day

90 DATA PROCESSING COLLECT AGGREGATE ANALYZE VISUALIZE

91 DATA PROCESSING COLLECT AGGREGATE ANALYZE VISUALIZE

92 VISUALIZING

93

94 Desktop Client Show last known location Show information of person Show information of contact person Data via SSE from Application Server

95

96 SETUP

97 MQTT COLLECT BROKER ANALYZE VISUALIZE MQTT REST REST SSE WiFi REST REST AGGREGATE SERVER 3rd PARTY

98 MQTT COLLECT BROKER VISUALIZE MQTT SSE WiFi REST IoT Cloud Service REST AGGREGATE ANALYZE 3rd PARTY

99 CONCLUSION MQTT broker to exchange data IoT Gateway as central data collector Apache Spark to analyze the data ApplicationServer to offer REST serv. Using an IoT Cloud Service (future)

100 CONCLUSION

101 IOT CAN BE HELPFUL BUT Devices have to be more unobtrusive Technology must be more easy Problematic to convince elderly people Data Privacy and Security

102