SafeBeing is a Somatix solution enabling passive remote monitoring of elderly people’s ADL (Activities of Daily Living) – routines with which they typically require no assistance, such as eating, drinking, dressing, walking and medication intake. SafeBeing precisely detects, and immediately alerts and enables caregivers to respond to any variation in gestures associated with these activities.
The solution requires no changes in users’ routines, and does not necessitate cameras or other sensors to be deployed in their daily environments. A simple waterproof wristband with a built-in accelerometer and gyroscope is all it needs for raw data collection, Big Data analysis and automated delivery of predictions and insights to users and caregivers alike.
Sudden falls, immobility, sleep irregularities, missed meals or low liquid consumption – SafeBeing detects and reports them all in real time, granting elderlies independence, and their caregivers and relatives complete peace of mind.
Key SafeBeing benefits:
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Completely passive monitoring
Allows caregivers to passively monitor and detect elderly people’s daily routines from afar, without requiring manual activity recording.
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Full transparency
Delivers information-rich statistics on a range of behavior indicators, such as bed stays, bathroom, door and window use, and more, for ongoing validation of elderly people’s overall wellbeing.
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High visibility of potential problems
Real-time alerts and notifications provide caregivers with immediate awareness of any change in behavior or other abnormality.
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Ease of use and cost efficiency
Requires no special knowledge or skills to install and use. No costly sensor or other hardware installation and maintenance required.
SmokeBeat is an innovative smoking cessation passive monitoring solution that taps into smartwatch and smartband accelerometer and gyroscope sensors, among others, to identify and distinguish smoking from other hand-to-mouth gestures.
Powered by the Somatix real-time gesture detection platform, SmokeBeat features outstanding passive raw data collection capabilities, with Big Data analysis and predictive analytics applied to generate and issue actionable insights to healthcare providers and users alike, via a customizable dashboard.
The solution leverages the Somatix platform’s proprietary SERF™ (Social, Emotional, Rational and Financial) motivation engine to help deliver variable combinations of personalized CBT (Cognitive Behavior Therapy) incentives that bear real impact on negative smoking patterns, and increase smoking cessation treatment adherence and effectiveness.
Key SmokeBeat benefits:
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Completely passive monitoring
The only solution of its kind that does not require smokers to manually record their smoking habits. SmokeBeat automatically detects smoking gestures, enabling clinicians to passively monitor, follow up on and enhance smoker adherence with prescribed cessation treatments.
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Social-driven motivation and support
Correlates smoking data with that of peers of choice in users’ social circles, effectively creating a virtual support community for information exchange and mutual encouragement.
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High visibility of treatment efficiency
Notifications provide physicians, clinics and other health service providers, as well as payors (health insurance companies) and smokers themselves with complete, ongoing awareness of treatment success vs. predefined goals.
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Real impact on negative behavior
Employs predictive analytics to anticipate smoking episodes, and the SERF™ (Social, Emotional, Rational and Financial) motivation engine to help intervene in real time and prevent them with variable combinations of personalized CBT incentives. Smoker responses to incentives are measured and recorded continuously, to further improve treatment effectiveness.
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Full transparency
Delivers information-rich statistics on smoking routines, including number of cigarettes consumed, smoking time of day and location, long-term impact on health, financial costs and more.
