Terrell R. Bennett

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In this work, we present a novel method to estimate joint angles and distance traveled by a human while walking. We model the human leg as a two-link revolute robot. Inertial measurement sensors placed on the thigh and shin provide the required measurement inputs. The model and inputs are then used to estimate the desired state parameters associated with(More)
There has been a very rapid growth in wearable computers over the past few years. Assisted living applications leveraging wearable computers will enable a healthier lifestyle and independence in a variety of target populations, including those suffering from neurological disorders, patients in need of rehabilitation after surgical procedures or injury, the(More)
In this paper, we present a method to synchronize data from multiple sensors in a cyber-physical system without any software or hardware modifications to the sensors. This method allows for synchronization of low-power embedded systems in heterogeneous sensor networks, regardless of accuracy of individual sensor clocks by using the events in the physical(More)
Inertial measurement units (IMUs) including accelerometers and gyroscopes are becoming very common and can be found in cell phones, fitness trackers, and other wearable devices. With the growth in wearable computing and body sensor networks, IMUs are also becoming more prevalent researchenvironments for estimation and tracking of human motion. Wedemonstrate(More)
Wearable computing devices and body sensor networks (BSNs) are becoming more prevalent. Collecting the data necessary to develop the new concepts for these systems can be difficult. We present the MotionSynthesis Toolset (MoST) to alleviate some of the difficulties in data collection and algorithm development. This toolset allows researchers to generate a(More)
This paper presents a method to synchronize the data streams from multiple sensors, including wearables and sensors in the environment. Our approach exploits common events observed by the sensors as they interact. We detect physical and cyber couplings between the sensor data streams and determine which couplings will minimize the overall clock drift. We(More)
In this paper, an orientation transformation (OT) algorithm is presented that increases the effectiveness of performing activity recognition using body sensor networks (BSNs). One of the main limitations of current recognition systems is the requirement of maintaining a known, or original, orientation of the sensor on the body. The proposed OT algorithm(More)
Context aware systems like smart homes and offices will benefit from determining human-object and human-human interactions. In this paper, we explore interaction detection methods using only wearable Inertial Measurement Units (IMUs). The interactions we explore involve two actors - the primary person and a secondary object or person. We explore how several(More)
The Internet of Things (IoT) is fueled by the growth of sensors, actuators, and services that collect and process raw sensor data. Wearable and environmental sensors will be a major component of the IoT and provide context about people and activities that are occurring. It is imperative that sensors in the IoT are synchronized, which increases the(More)
XRDS • w i n t e r 2 0 1 3 • V o l . 2 0 • n o . 2 W earable Computing” refers to embedding sensors and computation devices on the body in a seamless, unobtrusive, and invisible way. But the trend toward wearable computing is not as new as it seems. Taking something useful and making it more convenient is as old as time. This can be seen with the historical(More)
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