Philip Asare

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Auditeur is a general-purpose, energy-efficient, and context-aware acoustic event detection platform for smartphones. It enables app developers to have their app register for and get notified on a wide variety of acoustic events. Auditeur is backed by a cloud service to store user contributed sound clips and to generate an energy-efficient and context-aware(More)
MusicalHeart is a biofeedback-based, context-aware, automated music recommendation system for smartphones. We introduce a new wearable sensing platform, Septimu, which consists of a pair of sensor-equipped earphones that communicate to the smartphone via the audio jack. The Septimu platform enables the MusicalHeart application to continuously monitor the(More)
The efficacy of many Body Sensor Network (BSN) applications relies on the accurate temporal clustering of human motion into actions on various time scales. This is typically done with the use of inertial sensors and processing algorithms that try to extract such information from the sensor data. Two human factors in realworld deployments make such(More)
Home monitoring systems currently gather information about peoples activities of daily living and information regarding emergencies, however they currently lack the ability to track speech. Practical speech analysis solutions are needed to help monitor ongoing conditions such as depression, as the amount of social interaction and vocal affect is important(More)
Human motion has been reported as having great relevance to various disease, disorder, injuries and emotional state. Therefore, motion assessment using inertial body sensor networks (BSNs) is gaining popularity as an outcome measure in clinical study and neuroscience research. The efficacy of motion assessment heavily relies on the accurate temporal(More)
Emerging medical applications require networked coordination between medical devices. However, most of the medical devices in use today do not support wireless communication or network connectivity. Currently, hospitals interested in coordinated medical care would have replace existing devices with expensive new devices. We believe that existing medical(More)
Ternary content-addressable memory (TCAM) is often used in high speed search intensive applications such as ATM switch, IP filters. Hence, currently ZTCAM, is introduced which emulates the TCAM functionality with SRAM. It has some drawbacks such as low scalability, low storage density, slow access time and high cost. But this paper proposes novel memory(More)
Body sensor networks (BSNs) are an emerging class of medical cyber-physical systems which have the potential to change the healthcare paradigm. However, they present many new challenges, chief of which (like any medical device) is assuring patient safety. This requires not only a precise definition of safety, but also techniques for assessing the safety of(More)
Modeling and simulation play important roles in engineering research and design. These techniques are especially helpful in the early phases where limited detail is available about the design and where design changes are less costly. In addition, high-fidelity models can be employed at the later stages to complement testing. Models are also important(More)
Body sensors networks (BSNs) are emerging technologies that are enabling long-term, continuous, remote monitoring of physiologic and biokinematic information for various medical applications. Because of the varying computational, storage, and communication capabilities of different components in the BSN, system designers must make design choices that trade(More)