of the WalkSafe App that is capable of real-time detection of the front and back views of cars, indicating cars are approaching or moving away from the user, respectively. WalkSafe is implemented on Android phones and alerts the user of unsafe conditions using sound and vibration from the phone. Walk

describe a realtime implementation using the proposed technique and with a humanoid head embedding four microphones and two cameras: this enables natural human-robot interactive behavior.

used to measure autonomic nervous system activation. The signals were digitized in real time and stored on the SmartCar's pentium class computer. Each drive followed a prespecified route through fifteen different events, from which four stress level categories were created according

Abstract — Real-time parking availability information is important in urban areas, and if available could reduce congestion, pollution, and gas consumption. In this paper, we present a software solution called PhonePark for detecting the availability of on-street parking spaces. The solution uses

Sense classifier can robustly identify stress across multiple individuals in diverse acoustic environments: using model adaptation StressSense achieves 81 % and 76 % accuracy for indoor and outdoor environments, respectively. We show that StressSense can be implemented on commodity Android phones and run in real-time

Abstract — Real-time parking availability information is important in urban areas, and if available could reduce congestion, pollution, and gas consumption. In this paper, we present a software solution called PhonePark for detecting the availability of on-street parking spaces. The solution uses

Embedded systems play an important role in our daily lives: We interact, sometimes unknowingly, with embedded systems in applications ranging from cars, trains, and aircraft to washing machines and other household appliances. In an increasing number of applications, the system’s ability to detect

, and identifying the stalls available. The system detects cars through images instead of using electronic sensors embedded on the floor. A camera is installed at the entry point of the parking lot. It captures image sequences. The image sequences are then analyzed using digital image processing for vehicle

a robot-embedded microphone, and describes its ap-plication to a robot singer with music recognition. The pro-posed beat tracking introduces two key techniques, that is, spectro-temporal pattern matching and echo cancellation. The former realizes robust tempo estimation with a shorter window length

system that can record the fault and indicate its location within the cabinet is presented here. The system consists of a coincident microphone array that measures acoustic particle velocity along two orthogonal axes at its location. Detection and direction of noise can be obtained in real time or during