1. Introduction
The concept of the "digital home" serves as the foundational unit within the framework of future intelligent community systems. Essentially, the digital home relies on a home network to deliver comprehensive intelligent services encompassing the entire household, integrating data communication, home entertainment, and control of various information appliances. Among the key elements of digital home design, communication functionality stands out as particularly crucial, involving both external communication with the outside world and internal communication among household devices. At present, external communication primarily leverages broadband Internet access, while internal communication employs Bluetooth wireless technology, which is increasingly popular due to its competitive edge.
A traditional digital home typically uses a PC for centralized control, yet this approach lacks a human-centric focus. Inspired by the concept of artificial emotion, I have designed an intelligent robot equipped with numerous external sensors, treating it as a family member. This robot facilitates the management and control of the digital home. This paper focuses on designing an intelligent robot model for healthcare applications in the digital home. It utilizes Bluetooth technology for communication between intelligent robots and medical instruments, as well as control PCs. The entire system boasts low cost, comprehensive features, broad applicability, and significant market potential.
Figure 1 below illustrates the family health care intelligent robot design based on Bluetooth and DSP technology.
2. Overall Design of the Intelligent Robot
2.1 Multi-Sensor System for Intelligent Robots
The integration and fusion of multi-sensory systems represent one of the most critical areas in robotic intelligence technology. These systems combine external sensors like vision, hearing, force, tactile sensing, and touch with internal sensor information from each joint of the robot. This combination enables the robot to perform essential functions such as real-time image transmission, speech recognition, scene recognition, positioning, obstacle avoidance, and target detection. Additionally, medical modules (such as CCD cameras, stereo microphones, image capture cards, and specialized medical sensors) paired with a medical expert system allow for healthcare and telemedicine monitoring capabilities. Figure 2 provides a block diagram of the multi-sensor system for the intelligent robot.
2.2 Intelligent Robot Control System
The robot control system comprises two primary components: the upper computer, typically a PC, which handles trajectory planning, sensor information fusion algorithms, visual processing, human-machine interfaces, and remote processing; and the lower computer, usually employing a single-chip microcontroller or DSP as a core component, responsible for motor servo control, feedback processing, image processing, voice recognition, and communication interfaces.
If a multi-chip system is used for the lower computer, each processor performs a specific task, coordinating via information exchange to achieve the overall system function. However, such a setup often lacks robust signal processing capabilities. Given that DSP excels in signal processing and that this intelligent robot requires frequent signal processing, image processing, and speech recognition tasks, DSP is selected as the controller for the intelligent robot control system.
The control system centers around the DSP (TMS320C54x) as its core component. It includes Bluetooth wireless communication, GSM wireless communication (with GPRS support), motor drives, a digital compass, sensory sensors (vision, audio, etc.), medical sensors, and a multi-select serial communication (RS-232) module. The system controls the robot's movement by driving the motors and steering motors, using the digital compass’s feedback for PID control. The Ericsson ROK101007 circuit serves as the Bluetooth wireless communication module, enabling communication between the intelligent robot and the host PC, as well as with other Bluetooth-enabled healthcare instruments. The GSM wireless communication module supports data, voice, text messaging, and fax services, facilitating communication with remote medical monitoring centers via mobile networks.
Since the TMS320C54x has only one serial port, and the sensor modules—Bluetooth, GSM wireless, digital compass, and visual/audio—are all RS-232 asynchronous serial communications, a multi-select serial communication module is designed to handle conversion processing. When the TMS320C54x requires data from the Bluetooth wireless communication module, it triggers a circuit strobe. When needing data from a particular sensor module, the system disables the strobe of the previous wireless communication module and activates the sensor module’s strobe. This ensures each module can communicate serially with the TMS320C54x.
In conclusion, the integration of Bluetooth and DSP technologies into the design of intelligent robots for digital home healthcare offers a promising solution for modern smart communities. The proposed system not only enhances user experience but also opens new avenues for innovation in home automation and telemedicine.
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