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SHINESeniors Case Study

About SHINESeniors

TCS' assisted living project SHINESeniors is helping elderly citizens age in place. With hospitalization and healthcare costs rising steeply, senior citizens in countries with large elderly populations – Germany, Japan and Singapore, for instance – are struggling to reconcile medical challenges with living independently. To help them safely continue living on their own, Tata Consultancy Services Ltd. (TCS) and the Singapore Management University (SMU) are working on a pilot project deployed in the island nation. Called SHINESeniors, the project explores monitoring and assistive technologies at around 100 local Housing Development Board (HDB) apartments.

Problem statement

The urban population today requires far more than basic health, education and security amenities. Digitally-aware citizens are demanding more inclusion in civic affairs, with greater personalization of services, even as natural resources shrink. To develop cities of the future, governments need to consider enabling technology-driven service delivery. Towards this end, the Government of Singapore provided the iCity Lab with a grant so that researchers could work on technologies that non-intrusively monitor the well-being of elderly citizens who want to age in place in their own homes.

Solution

Sensors installed at the homes of senior citizens collect and transmit vital information about their well-being non-intrusively. This discreet mode of tracking helps the elderly lead normal lives without feeling self-conscious. In case of divergent data patterns, timely alerts tip off community caregivers, who can step in for support. All this enables the elderly to live comfortably and independently, while also retaining a safety net in case of an emergency. But how does the system recognize an emergency? Well, daily activities are closely mapped by motion sensors, door sensors, medication box sensors and an event is generated based on periods of movement, rest and ingestion of medication. Apart from an emergency button, a few homes also have bed, keychain, smart plug and water sensors. All these sensors together monitor the activity at each home, parsing through the data generated to predict whether there is need for intervention. These data patterns can tell us when the house has been empty for too long, when the emergency button is pressed, when there is no movement inside the house for a long time and when the medication box has not been opened.

TCS Connected Universe Platform is used to capture data from installed sensors and detects anomalies in daily activities using rule based processing of sensor streams.

  • Use of Sensor Observation Service to register device/sensor and persist observations from these sensor devices
  • Message Routing and Rule Engine Service for alert rule configuration
  • CEP service for pattern analysis on real time feed like non-movement detection
  • Real time notifications to various stakeholders via TCUP Action Service
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