SENSational STMicroelectronics is pleased to present the SENSational Seminar Attend a FREE One-Day Technical Seminar Near YOU! Seminar Sensors and the Internet of Things are changing the way we interact with the things in our life. They enrich the human interface and create a more interactive world. Join us for a day of educational presentations by our design experts as they discuss how to implement new sensor and connectivity technologies to improve our lives and products. The SENSational seminar goes beyond product presentation and combines new advanced concepts, basic design principles and real world application examples. Don t miss this chance to discover and ask the leading industry experts your questions to help you with your next design. Sense IoT Development Contextual Awareness Pedestrian dead reckoning Heart Rate and Biometrics monitoring Distance Sensing using the speed of light Audio Processing Connect Mesh Topology for Smart Home Active Noise Cancelation and Beam forming Low Power Voice over BLE Wireless Sensor Nodes Smart home platform Remote monitoring for health care Analog sense chain For more information and to register, go to http://www.st.com/sensational www.st.com
Agenda Sense Connect 8:00 AM - 8:45 AM Registration and breakfast 8:45 AM - 9:00 AM Opening Remarks 9:00 AM - 9:30 AM Introduction to a sensed world 9:30 AM - 10:15 AM IoT development using the Nucleo & Mesh topology for smart home and Expansion board ecosystem smart building 10:15 AM - 10:40 AM Break: Demos open 10:40 AM - 11:25 AM Contextual awareness Active noise cancelation and microphone beam forming 11:25 AM - 12:10 PM Pedestrian and automotive dead reckoning 12:10 PM - 1:10 PM Lunch: Demos open 1:10 PM - 2:10 PM Integrating an heart rate and biometrics monitor solution within a wearable device 2:10 PM - 2:35 PM Break: Demos open 2:35 PM - 3:35 PM Using the speed of light to measure objects over distance 3:35 PM - 3:45 PM Break; 3:45 PM - 4:15 PM Audio processing with an open development system Ultra low-power voice streaming over Bluetooth Low-Energy Designing wireless sensor node for wearable applications Implementing Smart Home Platform with HomePlug Analog Sensing Signal Chain Achieving higher performance with analog signal conditioning 4:15 PM - 4:45 PM Remote monitoring for health care City Date Seattle, WA 6/16/2015 Minneapolis, MN* 6/18/15 Boston, MA * 9/22/15 Austin, TX 9/24/2015 Santa Clara, CA * 10/6/15 San Diego, CA 10/8/15 Toronto Canada * 10/20/15 * Co-located with the Power Your Life Seminar in these locations
Ultra low-power voice streaming over Bluetooth Low-Energy The use of voice commands is becoming more and more common in the Wearable and connected home space. Battery operated devices such as smart watches, wrist bands, remote controllers always have to deal with power consumption so the classic Bluetooth is not always a good compromise. This session discusses a novel and unique way to transmit and receive voice quality audio over Bluetooth Smart allowing to meet the power budget requirement of those applications and open a new frontier in user interface for IoT connected devices. IoT development using the Nucleo & Expansion Board ecosystem More than 20 billion connected nodes are expected to be installed by 2020 according to several projections on IoT. This class will focus on the HW and SW building blocks to build an IoT node. The IoT node architecture includes sensing, processing, connectivity and power management. To simplify the design process, ST introduced the STM32 Open Development Environment: a HW and SW environment that allows interconnecting processing, connectivity, sensing and actuating expansion boards to easily prototype and test IoT nodes. This class will focus on the main concepts and features of the STM32 ODE including the open software initiatives Active noise cancelation and microphone beam forming Human voice interaction with low power IoT nodes represents a new frontier in the way we communicate with things. This allows users to interact with things just using their voice. This technology has several implementation challenges, mainly related to the embedded nature of the IoT nodes, including how to select a preferred sound input direction and how to implement voice command recognition. Those two steps involve techniques that remove the surrounding audio noise using microphone beam forming. Micro-array microphones can help to achieve this. The class will focus on CPU load and power consumption for an audio recognition system. Audio Processing with an open development system Leveraging the pervasiveness of sensors in everybody s life, from phones to wearables to new Smart Things that gather and send data to the cloud, there are unique solutions available from increased functionality in embedded in sensors. The Open.MEMS initiative licenses a dedicated program to offer customers, developers and students an easy way to evaluate, program and play with sensors, shortening time-to-development. The program makes freely available to all the customers and opencommunity developers the drivers, middleware, and application software to develop with ST sensors using the STM32 open ecosystem. The first important SW for MEMS to be licensed under the Open.MEMS framework is the sensor fusion, which combines data from several sensors achieving the high level of accuracy required by portable and wearable devices and other emerging applications, such as the IoT. Merging Audio sensors (MEMS Microphones) and Inertial Smart MEMS sensors, with embedded hard coded algorithms can offer extremely low power consumption solutions unleashing developer s creativity into the wearable and IoT space. Mesh topology for smart home and smart building The Connected Home is expected to be one of the fastest growing market in the IoT. With the exponential growth of number of low power sensors in the home and building environment it becomes crucial to have fast, reliable self-forming sensor networks able to re-adapt themselves and to provide a high level of security to the user. This class will focus on some of the emerging solutions available that exploit either sub GHz technology or the Bluetooth Smart for mesh topologies. Both of them can offer innovative mesh topologies bringing the home and building connectivity to a higher level of integration.
Designing wireless sensor nodes for wearable applications Wearable devices and more in general wireless sensors for connected home and industrial make extensive use of sensors of all kinds (motion, environmental, proximity, etc.) to implement functionalities like step count, wake up on gesture, gesture recognition, dead reckoning, asset tracking, etc. The amount of data coming from those sensors is critical for at least two main aspects: power budget and connectivity throughput. This session will focus on the challenges and solutions a designer has to consider to define the architecture of his wearable device Integrating heart rate and biometrics monitor solution with in a wearable device Heart rate monitor (HRM) is becoming a MUST among several wearable applications like smart watches, wrist and arm band, etc. One of the main challenges in those application is represented by the motion artifact introduced by the arm and wrist movement. Together with other sources of noise these affect the HRM estimation. Typically filtering algorithms and an accelerometer are used to overcome this noise sources. This class will focus on the main challenges a designer has to face when dealing with an HRM solution and how to find the best compromise in the selections of the devices needed to build an HRM solution. Implementing Smart Home Platform This talk will present a Smart Home platform designed to serve the new markets enabled by the Internet of Things, with a particular focus on Home Automation, Smart Energy, and e-health. It will demonstrate the reasons why OSGi has been used and show how the platform works. The platform is composed of a Gateway in production-ready form factor from Tatung and a set of sensor/actuator nodes, along with a Java Virtual Machine/OSGi software stack. Analog Sensing Signal Chain Achieving higher performance with analog signal conditioning Analog sensors are still available in the market and are used more and more in designs. When a digital output isn t there, what can we do in order to produce a high precision/performance output while using low cost SoC microcontrollers? With the advent of IoT, this issue will be become critical for increasing performance and driving down cost. Using the speed of light to measure objects over distance Measuring the time it takes for a reflected photon to travel from the source and back to the receiver (time of flight) can be used to accurately determine the distance from the object. This method has the added advantage of being able to more accurately measure the distance with objects of different reflectance compared to the more traditional technique of measuring the magnitude of the reflected light. The time of flight measurements are achieved using an eye safe laser transmitter and an array of single photo avalanche diodes (SPAD). Accurately measuring the time of flight will accurately measure the distance to the object. This presentation gives an overview of the technology used for the time of flight measurement and shows an implementation in a single package device. Examples of applications using TOF measurement will be presented.
Pedestrian and Automotive Dead Reckoning There are a variety of mobile phone and wearable device applications which require location with a high degree of availability and reliability. Location information derived from high-sensitivity GPS technology can fulfill this need for a substantially large percentage of time. There are several instances, such as indoor environments where GPS signals are degraded or not available. In such environments, MEMS inertial sensors (accelerometer, magnetometer, gyroscope, and altimeter) that are commonly found in today s smartphones, tablets, cameras, fitness products, and other portable consumer electronics, can be used for location computation. These sensors can, with reasonable accuracy, determine user position using Pedestrian Dead-Reckoning (PDR) technique. PDR does not require any external assistance or infrastructure and is capable of producing accurate relative positioning information. Thus, its characteristics complement the absolute positioning technologies, such as GNSS or Wi-Fi based navigation systems. As a result, PDR suits a hybridized system that would produce user position in an indoor environment with increased accuracy, availability and reliability. Contextual Awareness Integration of MEMS sensors in mobile / wearable devices enables a variety of features that users experience. Context (or situational) detection is one such important features. Context detection algorithms utilize low cost MEMS sensors such as 3-axis accelerometer, pressure sensor and microphone. These algorithms recognize and track user activity modes such as walking, stationary, jogging, driving, climbing up/down stairs, on the escalator or in the elevator and predict the locale such as inside/outside the building. The context detection algorithms can be designed to use any available MEMS sensor data independent of the underlying technology in the devices. These algorithms do not require that the sensors be accurately aligned or calibrated for them to be effective. Usefulness of the context detection algorithms is dependent on the performance parameters such as probability of false detection of context and latency in detecting transition between various user modes.